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Transform Your Enterprise into a Data Science Powerhouse

Delivering ROI, leveraging new technology and developing a high-performing team to deliver competitive advantage through data science

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Join us in New York, 23-24 January, for this unique peer-to-peer event for top data science minds. Explore how to drive innovation within your business through a data-driven culture, build a  world-class team, and utilize the latest innovation to solve some of the toughest problems facing corporate America.

Hear from some of the world's greatest data science strategy minds, including Chief Data Scientists from GE, CIAVerizon, and UnitedHealth Group.

2019 Highlights:

  • Two days exploring the key strategic and technical solutions for data science leaders with more than 35 sessions delivered by 45+ world-class speakers
  • Build your own experience with our unique streamed peer-to-peer discussion group format to benchmark your systems 
  • More than 10 hours of networking, including an evening drinks reception and access to private meeting space

Key Conference Topics:

  • Turning Insight into Income - Growth Through Commercial Data Science
  • Hiring the Unicorn: What Makes a Great Data Scientist?
  • Deploying and Monitoring Deep Learning Solutions at Scale
  • Transforming Traditional Industries into Data Science Champions
  • Data Science Advocacy: Educating and Working with the Business Stakeholders

 

40+ Speakers

150 Attendees

65% C-Level

6+ Hours Networking

8

Meet the Advisory Board

Daniel Costanza

Daniel Costanza

Chief Data Scientist, Citi

Daniel Costanza

Daniel Costanza

Chief Data Scientist, Citi

Sol Rashidi

Sol Rashidi

Chief Data & Cognitive Officer, Royal Caribbean International

Sol Rashidi

Sol Rashidi

Chief Data & Cognitive Officer, Royal Caribbean International

Sol currently holds 3 patents in the Information Management space and is a keynote speaker at several technology conferences speaking on various topics such as Machine Learning, Cognitive Computing, Data & Analytics, and Emerging Operating Models.

Prior to joining Royal Caribbean, Sol was a Partner at Ernst & Young in the Data & Analytics practice, and before that she was a part of the 1st generation of leaders taking WATSON to market at IBM.

Goal oriented and a team player, Sol believes in bringing together people, processes, and technology to cultivate environments that are innovative, driven, and collaborative A Thought Leader in the Data, Robotics, AI, and IT space. Sol is a competency player who solves complex Business, IT, and Operational problems and helps companies with large Transformational Programs.

Sol has a unique ability in bridging the gap between Business and IT, her deep understanding of multiple functional disciplines (i.e. change management, enterprise data, application architecture, process re-engineering, sales, etc.) enables her to drive change by articulate the need for change in organizations that otherwise wouldn’t evolve with the emerging market place.

Sol played NCAA Water Polo and Rugby for Cal on the Women’s National Rugby Team for several years, and completed the Ironman. She and her husband are avid wine drinkers, travelers, and learning to brew Belgium beer.

Michael Simon

Michael Simon

Chief of Data Science - Mission Center for Weapons & Counterproliferation, Central Intelligence Agency (CIA)

Michael Simon

Michael Simon

Chief of Data Science - Mission Center for Weapons & Counterproliferation, Central Intelligence Agency (CIA)

cary

Cary Correia

Chief Commercial Data Scientist, GE

cary

Cary Correia

Chief Commercial Data Scientist, GE

Known as a bright, innovative executive with extreme strategic and tactical abilities, I create incredibly smart commercial processes by leveraging technology and data. You can expect timely impactful solutions that drive growth, productivity savings and process cycle time improvements…with a leader who can turbo-charge a team to work at “commercial speed”

► Award driven execution
♦ 2010/2011 GE Marketing Level Gold Award for marketing from Beth Comstock
♦ 2018 GE Edison Award for growth generation

 

Robert-Whetsel-230x230

Robert Whetsel

Chief Data Scientist, U.S. Department of Defense

Robert-Whetsel-230x230

Robert Whetsel

Chief Data Scientist, U.S. Department of Defense

Dr. Robert Whetsel is known for building and maintaining partnerships with academia, private industry, and federal agencies within massively large environments. He has had a long career with the Department of Defense spanning for more than 30 years both as a solider and a Government Civilian.  Currently, he is a Chief Data Scientist for the DoD and has supported several data activities and initiatives for several agencies.  Recently, Captain Whetsel, returned from a deployment from the Middle-East supporting Combined Joint Task Force – Operation Inherent Resolve.  Known as an exceptional mentor and a supporter of entrepreneurs he has helped numerous startups and established companies develop innovative technical solutions for the DoD.

Dr. Whetsel is a recipient of Strategy and Innovation certificate from MIT’s Management Executive Education series. He has a Maters of Computer Science in Artificial Intelligence, and a Doctor of Computer Science in Big Data Analytics.  Pivotal, Dr. Whetsel has conducted research and published papers into big data complexity problems. Titles such as “Quantifying the Impact of Big Data’s Variety” and “Measuring Big Data Complexity Using Kolmogorov’s Complexity Theory” are foundational in understanding computational recourses planning for conducting big data analytics.

 

Asim Tewary, Verizon

Asim Tewary

Head of Enterprise Data Science & Advanced Analytics, Verizon

Asim Tewary, Verizon

Asim Tewary

Head of Enterprise Data Science & Advanced Analytics, Verizon

Asim Tewary is the Enterprise Head of Data Science & Analytics at Verizon driving revenue growth, churn mitigation, digital transformation, and data monetization for $120 Billion business across Wireless, FIOS, IoT, and enterprise businesses across 130+ Million customer base.

His current focus is building cognitive self-learning capabilities to augment employee intelligence (digital employee) and personalize customer experience across channel using customer DNA and propensities derived by deep learning algorithms.

Asim manages 350+ full time employees in United States as well as in India. His responsibilities extend across all aspects of Data Investment, Management, and Monetization including Budgeting, Infrastructure & Operations, Governance, Business Intelligence, Data Science & Advanced Analytics, and End-to-End Solutions Design & Implementation.

Prior to joining Verizon, he was Managing Director for PwC’s Financial Services Analytics practice across banking, capital markets, insurance, risk, and asset management business and Chief Data Officer at AIG. He has over 20 years of experience and has held senior leadership positions managing analytics organizations at Morgan Stanley, Bank of America and other financial services companies.

 

Sandeep-Kaul-Samsung-230x230

Sandeep Kaul

Head of Digital Analytics, Samsung Electronics America

Sandeep-Kaul-Samsung-230x230

Sandeep Kaul

Head of Digital Analytics, Samsung Electronics America

Sandeep Kaul is the Head of Digital Analytics at Samsung Electronics America. He specializes in Digital Marketing, Online Strategy, Marketing Strategy, Analytics, Innovation, Strategic Planning, Performance Marketing, eCommerce & Online Retail.

 

Subhashini-Tripuraneni-7eleven-230x230

Subhashini Tripuraneni

Head of Data Science & Head of Artificial Intelligence, 7-Eleven

Subhashini-Tripuraneni-7eleven-230x230

Subhashini Tripuraneni

Head of Data Science & Head of Artificial Intelligence, 7-Eleven

Subhashini Tripuraneni currently heads Artificial Intelligence (AI) at 7-Eleven. She is responsible to proactively create competitive advantage, drive in-store efficiencies and incremental sales through Data Science and RPA (Robotic Process Automation). Additionally, she has over 14 years of experience defining technology strategy and implementing enterprise scale software across Financial Services, Government, and Convenience Retail sectors. She has an MBA from Wharton Business School, with concentrations in Business Analytics, Marketing & Operations, and Entrepreneurial Management.

 

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Edmund Jackson

VP & Chief Data Scientist, Hospital Coporation of America (HCA)

Edmund-Jackson-HCA-230x230

Edmund Jackson

VP & Chief Data Scientist, Hospital Coporation of America (HCA)

I lead a dynamic team of business intelligence (BI) specialists, software developers and data scientists. Our core mission is create clinical, operational and financial value from several data sources including our large clinical data warehouse and big data platform. We use a range of tools from raw SQL on Teradata through to Tableau, Clojure, Scala, Python, D3, Spark, Impala and many others to deliver into dashboards, web and mobile platforms.

 

Jacque-Davis-NRG-Renewables-230x230

Jacque Davis

Head of Data Science, NRG Energy

Jacque-Davis-NRG-Renewables-230x230

Jacque Davis

Head of Data Science, NRG Energy

Jacque Davis is the Head of Data Science at NRG Energy.

 

Carl Gold Zuora

Carl Gold

Chief Data Scientist, Zuora

Carl Gold Zuora

Carl Gold

Chief Data Scientist, Zuora

Chief Data Scientist at Zuora, Inc. Part of the executive team that brought the unicorn Zuora, Inc public this year (NYSE: ZUO). Zuora is the leader in subscription business management software. Specialist in Churn analysis, having analyzed subscriber churn for more than 50 companies and created unique data science features in Zuora Insights to deliver these analyses to Zuora's customers. Creator of the Subscription Economy Index, a leading industry report on trends and directions in the digital economy.

James Cai Roche

James Cai

Head of Data Science, Roche

James Cai Roche

James Cai

Head of Data Science, Roche

Bennett Borden - DBR

Bennett Borden

Chief Data Scientist, Drinker Biddle & Reath LLP

Bennett Borden - DBR

Bennett Borden

Chief Data Scientist, Drinker Biddle & Reath LLP

Bennett B. Borden is the firm’s chief data scientist and responsible for the firm’s data analytics strategy. Harnessing the power of data is essential for helping clients drive value in their business operations and telling their side of the story in litigation. Bennett is one of the world’s first lawyer/data scientists and has recently been appointed to the National Conference of Lawyers and Scientists (NCLS) of the American Academy for the Advancement of Science.

Bennett advises the firm and its clients on the development and use of analytics models that enable insight, data storytelling and economic value generation. Bennett’s ground-breaking research into the use of machine-based learning and unstructured data for organizational insight is now being put to work in data-driven early warning systems for clients to detect and prevent corporate fraud and other misconduct. Bennett also builds machine-based learning models to transform and improve legal outcomes in key corporate events including mergers and acquisitions, information governance program development and enforcement, litigation and investigations and business intelligence.

Eric Nyabiosi - Comcast

Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

Eric Nyabiosi - Comcast

Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

Eric Nyabiosi is an analytics executive, data strategist and innovator. Currently, Eric is the head of Data Science for Comcast Corporation, one of the world's largest communications | media | entertainment | technology company. In this capacity, he specializes in creating value by providing executive leadership in the areas of artificial intelligence, machine learning, predictive modeling and optimization. He informs decision making across risk management, pricing strategy, marketing analytics and customer experience by synthesizing actionable insights from big data.


Prior to joining Comcast, Eric headed the AI Specialized Analytics team at Citi, headed the financial planning and analytics team at Toyota, built risk mitigation products at JPMorgan Chase and held other diverse analytics roles with Fortune 500 companies. Eric is passionate about all things data - from AI, ML, DL, NLP, modeling, simulation, experimental designs, to data analytics, data visualization and creating user interfaces that help people with varied experiences makes sense of data, learn from data and tell stories from data.


Aside from his passion for data, Eric has a lifelong commitment on giving back to the community and partnering in missions that produce lifesaving outcomes. He has extensive local and international experience serving others as a volunteer, member, sponsor, board member and co-founder for several organizations that focus on providing mentoring, education, sustainable development and disaster relief efforts.

Krishna Iyer - State of Illinois

Krishna Iyer

Chief Data Scientist, State of Illinois

Krishna Iyer - State of Illinois

Krishna Iyer

Chief Data Scientist, State of Illinois

A technology professional with a wealth of experience and background in transforming innovative ideas into practice. A strong background in statistical processes, experimental design and modeling methods. Adept in combining these with machine learning techniques, for detecting patterns and for building a mechanistic understanding of the interactions within the data structure. Combines data-based approach and scientific methods to develop a vision for product strategy and for growing a business.

Mark Wang

Mark Wang

Chief Data Scientist, Alorica

Mark Wang

Mark Wang

Chief Data Scientist, Alorica

Dr. Mark Wang serves as Chief Data Scientist at Alorica where he heads the company’s advanced, big data analytics team.  Alorica is the largest provider of customer engagement solutions to the U.S. market, and third largest in the world, with more than 100,000 experts in 150 offices across 16 countries around the globe.  Prior, he spent 6 years in Silicon Valley as Chief Data Scientist at Internet/IPO startup Chegg.com, and at the Employee Stock Option Venture Fund.  Trained as a Ph.D. particle physicist at MIT, Mark’s career also includes 16 years in policy analysis at the RAND Corporation “Think Tank.”

Rajeeve-Kaul

Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

Rajeeve-Kaul

Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

A dynamic leader with proven expertise in developing and leveraging predictive analytics to build and execute transformative strategies for optimizing profitability and growth. Broad and diverse experiences in driving success in B2B, B2C, and online digital channels across multiple industries. Experience creating and leading best in class organizations in areas of pricing strategy, profitability management and big data and predictive analytics at GE, Cardinal Health, Officemax, Essendant, G4S and AutoZone. Led the development and successful implementation of the world’s first store-specific assortment and pricing optimization solution leveraging SAS and R. Drives change and innovation through effective cross-functional collaboration, communication, customer relations, and talent management. Demonstrated expertise leading high performance organizations to deliver P&L results across multiple industries.

Sears Mettiyy - MassMutual-1

Sears Merritt

Chief Data Scientist, MassMutual Financial Group

Sears Mettiyy - MassMutual-1

Sears Merritt

Chief Data Scientist, MassMutual Financial Group

As Chief Data Scientist, Sears Merritt leads the Data Science Program (http://datascience.massmutual.com) at MassMutual Financial Group. In various roles, including founder, engineer, researcher, and technology advisor, he has spent over 10 years working with data and big data systems in industry and academia. Sears holds a Ph.D. in Computer Science, an M.S. in Telecommunications and a B.S. in Electrical Engineering all from the University of Colorado at Boulder. He has also earned expert level IT certifications in networking (CCIE, routing and switching), project management (PMP), and security (CISSP).

Siva_Kumpatla

Siva Kumpatla

Global Head of Data Science, DowDuPont

Siva_Kumpatla

Siva Kumpatla

Global Head of Data Science, DowDuPont

Siva Kumpatla is an accomplished Technology and Product development leader with more than two decades of experience in driving change and innovation in very large organizations. Siva has extensive experience in several sectors of research and development, from discovery to registration of agricultural biotechnology products, as well as the application of data science and informatics to all these sectors. Demonstrated expertise with outside-in focus, visioning, strategy development, and with building strong, motivated, and high performing teams. With more than 250 external publications, presentations, and IP-related documents, and 100+ internal publications, Siva is also a Research Fellow at Dow AgroSciences. He is also an Adjunct Professor of Bioinformatics as well as the Co-chair for Industry Advisory Board for BioHealth Informatics at Indiana University School of Informatics and Computing at IUPUI in Indianapolis.  

Joel Amick-TIAA-1

Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Joel Amick-TIAA-1

Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Joel is a lecturer and Director level IT professional with almost 20 years of experience. Currently Joel is the Director of Cyber Analytics and Data Science at TIAA leveraging Data Science and Cyber Security to reduce the threat landscape of this Fortune 100 company. Joel has spent his career helping companies develop innovative solutions to complex problems and moving their maturity level forward.  A Graduate from UNCC, Joel holds an MBA in Data Science, a Master’s of Science in Information Security and a newly minted CISSP certification among others. Joel is a member of InfraGard as well as the Metro-Charlotte Electronic Crimes Task Force.   Joel has an affinity for Cybersecurity and Data Science and has been able to meld these two passions together into an exciting discipline.

Philipp Diesinger

Philipp Diesinger

Global Chief Data Scientist, Boehringer Ingelheim

Philipp Diesinger

Philipp Diesinger

Global Chief Data Scientist, Boehringer Ingelheim

Ihor Skrypnyk

Ihor Skrypnyk

Global Head Data Science and Analytics, The Goodyear Tire & Rubber Company

Ihor Skrypnyk

Ihor Skrypnyk

Global Head Data Science and Analytics, The Goodyear Tire & Rubber Company

BNSF

Pooja Dewan

Chief Data Scientist, BNSF Railway

BNSF

Pooja Dewan

Chief Data Scientist, BNSF Railway

Luis-Capelo-Forbes-230x230

Luis Capelo

Head of Data Products, Forbes

Luis-Capelo-Forbes-230x230

Luis Capelo

Head of Data Products, Forbes

I lead Forbes Media’s Data Products team. Our team is responsible for investigating how Forbes articles are distributed and consumed, identifying patterns that are then used to improve business metrics via the creation of software products. Our solutions include an AI-agent that collaborates with writers, a swarm of bots that help our editors distribute our content, and a new analysis tool that traces and predicts how our content is shared.

 

Haftan-Eckholdt-Plated-230x230

Haftan Eckholdt

Chief Data Science Officer, Plated

Haftan-Eckholdt-Plated-230x230

Haftan Eckholdt

Chief Data Science Officer, Plated

Create and manage an interdisciplinary team in their perfection of this customer equation of deliciousness:

FOOD + data engineering + data analytics + data modelling = JOY

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Jeffrey Sternberg

SVP, Data Science Engineering, The Blackstone Group

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Jeffrey Sternberg

SVP, Data Science Engineering, The Blackstone Group

Jeff Sternberg is a Senior Vice President in the Blackstone Innovations team. Mr. Sternberg leads Data Science Engineering and Data Visualization for the firm.

Before joining Blackstone in 2017, Mr. Sternberg was Director of Data Engineering at Ipreo, VP Technology at Observer Media, and CTO of an early-stage data analytics fin-tech startup. Previously, Mr. Sternberg was Chief Data Scientist at S&P Capital IQ, founding the company’s first data science team in 2010, and was a core member of S&P Capital IQ’s technology leadership team, focusing on data architecture and content curation.

Mr. Sternberg received a BA in Biology from the University of Virginia.

 

Mohak-Shah-LG-Electronics-230x230

Mohak Shah

VP, AI and Machine Learning, LG Electronics

Mohak-Shah-LG-Electronics-230x230

Mohak Shah

VP, AI and Machine Learning, LG Electronics

Mohak Shah is a technology executive and technologist with an established history of leading high-impact initiatives in AI, IoT, digital transformation, and building data-driven businesses and strategies. He is deeply passionate about responsible development, introduction, adoption, and integration of AI capabilities in industry and society at large. His experience in leading technology initiatives spans a broad range of verticals including autonomous driving, automotive, aviation, energy and healthcare leading diverse teams from research, software, and businesses.

As a machine learning and AI scientist, Mohak has developed novel technologies with high impact business applications. He is the author of “Evaluating Learning Algorithms: A Classification Perspective” (Cambridge), and has published more than 45 research articles, in top conferences and journals in the analytics space, and patented technologies. Mohak regularly contributes to the community through participation in scientific panels, organizing committees, review committees, and social impact programs. He was the General Chair of ACM SIGKDD 2016 conference. He also holds an adjunct faculty position with the University of Illinois (Chicago).

 

Alaa Moussawi

Alaa Moussawi

Chief Data Scientist, New York City Council

Alaa Moussawi

Alaa Moussawi

Chief Data Scientist, New York City Council

John Mercer

John Mercer

Head of Data Science, Pixability

John Mercer

John Mercer

Head of Data Science, Pixability

Antonio Carbajal Turner

Antonio Carbajal

Vice President, Data Science, Turner (Turner Broadcasting System, Inc)

Antonio Carbajal Turner

Antonio Carbajal

Vice President, Data Science, Turner (Turner Broadcasting System, Inc)

Antonio Carbajal is the VP, Data Science at Turner.
Siva_Kumpatla-230x230

Dr. Siva Kumpatla

Chief Data Scientist, Dow AgroSciences

Siva_Kumpatla-230x230

Dr. Siva Kumpatla

Chief Data Scientist, Dow AgroSciences

Accomplished Technology and Product development leader with more than two decades of experience in driving change and innovation in very large organizations. Extensive experience in several sectors of research and development, from discovery to registration of agricultural biotechnology products, as well as the application of data science and informatics to all these sectors. Demonstrated expertise with outside-in focus, visioning, strategy development, and with building strong, motivated, and high performing teams. With more than 200 external publications and presentations, Siva is also an Adjunct Professor of Bioinformatics as well as the Co-chair for Industry Advisory Board for BioHealth Informatics at the Indiana University Purdue University in Indianapolis and a Research Fellow at Dow AgroSciences.

Mike-Berges-230x230

Mike Berger

VP, Pop Health Informatics and Data Science, Mount Sinai Health System

Mike-Berges-230x230

Mike Berger

VP, Pop Health Informatics and Data Science, Mount Sinai Health System

Mount Sinai Health Partners is a critical lever in Mount Sinai’s vision to transform into the leading population health manager in the region. This won’t happen by luck or accident, it’ll be through innovative processes, novel technologies and highly capable people being fed rich datasets to make decisions at the right time. I’m honored to be a contributor to this program, heading up our population health analytics group. Building a team of analysts, engineers, and data science unicorns, we leverage our understanding of claims and clinical data to with data science methods and technologies to find new ways to stratify and operationalize population health management for our hundreds of thousands of at-risk lives.

 

Reto-Matter-230x230

Reto Matter

SVP Data Services & Analytics, Li & Fung

Reto-Matter-230x230

Reto Matter

SVP Data Services & Analytics, Li & Fung

Data Executive with 27yrs of global experience and a proven track record of building BI, Big Data and Analytic’s Solutions across various industries. Combining thought leadership with a deep knowledge of data technologies and best engineering practices to help companies unlock value in their data. Designed large-scale Data Warehouses, Big Data and ML/AI Solutions in iSupply Chain, Retail, Social and Financial industries.

 

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Thomas Vincent

Head of Data Science, Getty Images

Thomas-Vincent-Getty-Images-230x230

Thomas Vincent

Head of Data Science, Getty Images

Thomas Vincent is the Head of Data Science at Getty Images.

 

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Victor Lo

Head of Data Science and Artificial Intelligence, Workplace Solutions, Fidelity Investments

Victor-Lo-Fidelity-230x230

Victor Lo

Head of Data Science and Artificial Intelligence, Workplace Solutions, Fidelity Investments

Victor Lo is the Head of Data Science and Artificial Intelligence, Workplace Solutions at Fidelity Investments.

 

Sriram-Subramanian-Conde-nast-230x230

Sriram Subramanian

Head of Data Science, Condé Nast

Sriram-Subramanian-Conde-nast-230x230

Sriram Subramanian

Head of Data Science, Condé Nast

Sriram Subramanian is the Head of Data Science at Condé Nast.

 

Sachin-Ahuja-CNH-Industrial-230x230

Sachin Ahuja

Chief Data Scientist and Global Director, CNH Industrial

Sachin-Ahuja-CNH-Industrial-230x230

Sachin Ahuja

Chief Data Scientist and Global Director, CNH Industrial

Sachin Ahuja is the Chief Data Scientist and Global Director at CNH Industrial.

 

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Tom Hamilton

VP, Head of Analytics Center of Excellence, Voya Financial

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Tom Hamilton

VP, Head of Analytics Center of Excellence, Voya Financial

Tom Hamilton is the head of predictive modelling and data science, responsible for developing data-driven solutions across the company’s Retirement and Insurance businesses. He is currently delivering a broad range of analytics aimed at strengthening relationships with end customers, institutional clients, and distribution partners, and optimizing internal business processes.

 

Dan-Wulin-Wayfair-230x230

Dan Wulin

Director, Data Science, Wayfair

Dan-Wulin-Wayfair-230x230

Dan Wulin

Director, Data Science, Wayfair

Dan Wulin is the Director of Data Science at Wayfair.

 

robin

Robin Thottungal

Chief Data Scientist, U.S. Environmental Protection Agency

robin

Robin Thottungal

Chief Data Scientist, U.S. Environmental Protection Agency

-Leading the Data Analytics effort of 15,000+ member agency through providing strategic vision, program development, evangelizing value of data driven decision making, bringing lean-start up approach to public sector & building advanced data analytics platform capable of real-time/batch analysis.

-Serving as Chief data scientist for the agency, including directing, coordinating and overseeing the division’s leadership of EPA’s multi­media data analytics, visualization, and predictive analysis work along with related tools, application development and services.

-Develop and oversee the implementation of Agency policy on integration analysis of environmental data, including multi­media analysis and assessments of environmental quality, status, and trends.

-Develop, market, and implement tactical and strategic plans for the Agency’s data management, advanced data analytics, and predictive analysis work.

-Lead cross­federal, state, tribal and local government data partnerships as well as information partnerships with other entities.

 

Jennifer-Gilbert-230x230

Jennifer Gilbert

Cybersecurity Strategist - Industry and Academia, NSA Office of the National Manager for National Security Systems

Jennifer-Gilbert-230x230

Jennifer Gilbert

Cybersecurity Strategist - Industry and Academia, NSA Office of the National Manager for National Security Systems

 
Sears Mettiyy - MassMutual

Dr. Sears Merritt

Chief Data Scientist, MassMutual Financial Group

Sears Mettiyy - MassMutual

Dr. Sears Merritt

Chief Data Scientist, MassMutual Financial Group

As Chief Data Scientist, Sears Merritt leads the Data Science Program (http://datascience.massmutual.com) at MassMutual Financial Group. In various roles, including founder, engineer, researcher, and technology advisor, he has spent over 10 years working with data and big data systems in industry and academia. Sears holds a Ph.D. in Computer Science, an M.S. in Telecommunications and a B.S. in Electrical Engineering all from the University of Colorado at Boulder. He has also earned expert level IT certifications in networking (CCIE, routing and switching), project management (PMP), and security (CISSP).

Sanji Fernando - UnitedHealthGroup

Sanji Fernando

Vice President, OptumLabs Center for Applied Data Science, UnitedHealth Group

Sanji Fernando - UnitedHealthGroup

Sanji Fernando

Vice President, OptumLabs Center for Applied Data Science, UnitedHealth Group

Sanji Fernando is vice president and head of the OptumLabs Center for Applied Data Science (CADS). CADS is a new kind of resource within Optum, focused on the application of new data science methods to solve complex healthcare challenges faced by UnitedHealthcare and Optum. Specifically, CADS applies breakthrough innovations in artificial intelligence and machine learning to create software prototypes. Natural Networks and Optum CommunityHealth are two of the product concepts developed by CADS. Fernando joined UnitedHealth Group in 2014 from Nokia, where he created the data science team for Nokia. The data science team was responsible for launching the first big data computing cluster at Nokia to analyze user activity and engagement and to design new product concepts from the insights generated from this cluster. Before that, Fernando spent nine years at Nokia in a variety of corporate roles with Nokia’s Advanced Business Development team, Nokia Research, and Nokia Ventures. Prior to Nokia, Fernando was a co-founder and vice president of engineering for the venture-backed mobile software company, Vettro. Fernando began his career in consulting with Viant and Accenture. Fernando is a graduate of Trinity College with a bachelor’s degree in computer science. He lives in the Boston area with his wife, Michelle, and their three boys. In his free time, Fernando enjoys coaching his sons in basketball and baseball. He also serves on the board of his local Little League.

Rajeeve Kaul

Mr. Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

Rajeeve Kaul

Mr. Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

A dynamic leader with proven expertise in developing and leveraging predictive analytics to build and execute transformative strategies for optimizing profitability and growth. Broad and diverse experiences in driving success in B2B, B2C, and online digital channels across multiple industries. Experience creating and leading best in class organizations in areas of pricing strategy, profitability management and big data and predictive analytics at GE, Cardinal Health, Officemax, Essendant, G4S and AutoZone. Led the development and successful implementation of the world’s first store-specific assortment and pricing optimization solution leveraging SAS and R. Drives change and innovation through effective cross-functional collaboration, communication, customer relations, and talent management. Demonstrated expertise leading high performance organizations to deliver P&L results across multiple industries.

Mukesh Dalal - Bose

Mukesh Dalal

Global Head of Data Science and Analaytics, Bose

Mukesh Dalal - Bose

Mukesh Dalal

Global Head of Data Science and Analaytics, Bose

Mukesh Dalal is the Global Head of Data Science and Analytics at Bose. He is responsible for defining and implementing company-wide data strategy. Includes data science, machine learning (ML), artificial intelligence (AI), and analytics.

Matt Shump - Endurance

Mr. Matt Shump

Head of Analytics and Data Science, Endurance International Group

Matt Shump - Endurance

Mr. Matt Shump

Head of Analytics and Data Science, Endurance International Group

Matt Shump is a hands-on Analytics and Data Science executive. He currently serves as head of Analytics and Data Science at Endurance International Group. Prior to that he started and lead the Data Science team at Cigna. He grew up a data scientist working in BI, Decision Support, Advanced Analytics, Machine Learning and Data Management. Now his passion is sitting at the intersection of Data, Analytics and emerging technology to build teams and solutions that drive measurable business impact.  Matt is a University of New Hampshire alumni where he received his M.S. in Statistics, B.S. in Mathematics and is also Black Belt certified in Lean Six Sigma.

Mark Wang

Dr. Mark Wang

Chief Data Scientist, Alorica

Mark Wang

Dr. Mark Wang

Chief Data Scientist, Alorica

Dr. Mark Wang serves as Chief Data Scientist at Alorica where he heads the company’s advanced, big data analytics team.  Alorica is the largest provider of customer engagement solutions to the U.S. market, and third largest in the world, with more than 100,000 experts in 150 offices across 16 countries around the globe.  Prior, he spent 6 years in Silicon Valley as Chief Data Scientist at Internet/IPO startup Chegg.com, and at the Employee Stock Option Venture Fund.  Trained as a Ph.D. particle physicist at MIT, Mark’s career also includes 16 years in policy analysis at the RAND Corporation “Think Tank.”

Krishna Iyer - State of Illinois

Dr. Krishna Iyer

Chief Data Scientist, State of Illinois

Krishna Iyer - State of Illinois

Dr. Krishna Iyer

Chief Data Scientist, State of Illinois

A technology professional with a wealth of experience and background in transforming innovative ideas into practice. A strong background in statistical processes, experimental design and modeling methods. Adept in combining these with machine learning techniques, for detecting patterns and for building a mechanistic understanding of the interactions within the data structure. Combines data-based approach and scientific methods to develop a vision for product strategy and for growing a business.

John Behrens - Pearson

John Behrens

VP, Advanced Computing and Data Science Lab , Pearson

John Behrens - Pearson

John Behrens

VP, Advanced Computing and Data Science Lab , Pearson

John Behrens is a Data Science and Learning Professional with a wide range of academic and corporate experiences in developing innovative analytic, assessment and learning systems. He leads a Pan-Pearson group of innovative and effective teams that love learning, data, analytics, and computing, and use it to help learners. They apply and advance data sciences and computing sciences (including machine learning and AI) to support and advance learning sciences, development learning products, and optimize business processes.

Joel Amick-TIAA

Mr. Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Joel Amick-TIAA

Mr. Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Joel is a lecturer and Director level IT professional with almost 20 years of experience. Currently Joel is the Director of Cyber Analytics and Data Science at TIAA leveraging Data Science and Cyber Security to reduce the threat landscape of this Fortune 100 company. Joel has spent his career helping companies develop innovative solutions to complex problems and moving their maturity level forward.  A Graduate from UNCC, Joel holds an MBA in Data Science, a Master’s of Science in Information Security and a newly minted CISSP certification among others. Joel is a member of InfraGard as well as the Metro-Charlotte Electronic Crimes Task Force.   Joel has an affinity for Cybersecurity and Data Science and has been able to meld these two passions together into an exciting discipline.

Eric Nyabiosi - Comcast

Mr. Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

Eric Nyabiosi - Comcast

Mr. Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

A trusted analytics leader for over 16 years advising senior executives on, and helping define Data Science, Big Data and Predictive Analytics as an enabler of Marketing, Finance, Risk, Pricing, Product, Customer Engagement and Satisfaction functions. An analytics strategic thinker uncovering game-changing data-driven products and insights with an impeccable ability packaging and presenting them in a way that compels the organization to act on them. A strong collaborator with a demonstrated ability to influence executives broadly and challenge conventional thinking earning organizations billions of dollars in additional revenue. Lead teams of data scientists and big data engineers in building next generation data-driven machine learning platforms, monetization of data products and developing customer facing AI solutions increasing adoption and powering profitable growth.

A board member, lecturer and program adviser to several data science MBA, CS and MIS institutions of higher learning advising them on curriculum, data science trends, emerging tools and practical applications their courses in a practical world.

 

Currently Head of AI ML Predictive Modeling, leading team of over 30 data scientists managing machine learning and AI functions within Cable business for both Xfinity and Business Services, which include developing of predictive modeling solutions for the Marketing, Sales, Finance, Risk, Product and Customer Experience verticals which have a combined annual revenue of over a Billion. Provide strategic analytical frameworks and capabilities for data monetization, machine learning, geospatial analytics harnessing Comcast data across the entire enterprise.

Dipti Patel Misra

Dipti Patel-Misra

Chief Data & Analytics Officer, Vituity

Dipti Patel Misra

Dipti Patel-Misra

Chief Data & Analytics Officer, Vituity

Dipti Patel-Misra, Chief Data & Analytics Officer for Vituity, leads the data analytics team with more than 15 years of success in designing and implementing data and analytics strategies for business growth in healthcare. She specializes in simplifying complex issues to drive enterprise strategic objectives and is passionate about impacting healthcare outcomes and empowering leaders to engage and change the healthcare landscape. Dipti is a member of the North Carolina Hospital Association Quality Center Board, the chairperson of the Health Informatics Board at UNC Charlotte, and is leading the effort to build an innovation lab (an industry-academia partnership).  She also teaches Health Informatics as an adjunct faculty at UNC Charlotte. Dipti earned her Ph.D. in chemistry from Johns Hopkins University and a Master of Business Administration from the University of North Carolina. She has her professional coach certification from the International Coach Federation.

8

45+ Inspiring Speakers

Announcing The Speakers

If you would be interested in speaking at the event, or recommending someone to do so, please contact us.

Daniel Costanza

Daniel Costanza

Chief Data Scientist, Citi

Sol Rashidi

Sol Rashidi

Chief Data & Cognitive Officer, Royal Caribbean International

Michael Simon

Michael Simon

Chief of Data Science - Mission Center for Weapons & Counterproliferation, Central Intelligence Agency (CIA)

cary

Cary Correia

Chief Commercial Data Scientist, GE

Robert-Whetsel-230x230

Robert Whetsel

Chief Data Scientist, U.S. Department of Defense

Asim Tewary, Verizon

Asim Tewary

Head of Enterprise Data Science & Advanced Analytics, Verizon

Sandeep-Kaul-Samsung-230x230

Sandeep Kaul

Head of Digital Analytics, Samsung Electronics America

Subhashini-Tripuraneni-7eleven-230x230

Subhashini Tripuraneni

Head of Data Science & Head of Artificial Intelligence, 7-Eleven

Edmund-Jackson-HCA-230x230

Edmund Jackson

VP & Chief Data Scientist, Hospital Coporation of America (HCA)

Jacque-Davis-NRG-Renewables-230x230

Jacque Davis

Head of Data Science, NRG Energy

Carl Gold Zuora

Carl Gold

Chief Data Scientist, Zuora

James Cai Roche

James Cai

Head of Data Science, Roche

Bennett Borden - DBR

Bennett Borden

Chief Data Scientist, Drinker Biddle & Reath LLP

Eric Nyabiosi - Comcast

Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

Krishna Iyer - State of Illinois

Krishna Iyer

Chief Data Scientist, State of Illinois

Mark Wang

Mark Wang

Chief Data Scientist, Alorica

Rajeeve-Kaul

Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

Sears Mettiyy - MassMutual-1

Sears Merritt

Chief Data Scientist, MassMutual Financial Group

Siva_Kumpatla

Siva Kumpatla

Global Head of Data Science, DowDuPont

Joel Amick-TIAA-1

Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Philipp Diesinger

Philipp Diesinger

Global Chief Data Scientist, Boehringer Ingelheim

Ihor Skrypnyk

Ihor Skrypnyk

Global Head Data Science and Analytics, The Goodyear Tire & Rubber Company

BNSF

Pooja Dewan

Chief Data Scientist, BNSF Railway

Luis-Capelo-Forbes-230x230

Luis Capelo

Head of Data Products, Forbes

Haftan-Eckholdt-Plated-230x230

Haftan Eckholdt

Chief Data Science Officer, Plated

jeff_bx_headshot-230x230

Jeffrey Sternberg

SVP, Data Science Engineering, The Blackstone Group

Mohak-Shah-LG-Electronics-230x230

Mohak Shah

VP, AI and Machine Learning, LG Electronics

Alaa Moussawi

Alaa Moussawi

Chief Data Scientist, New York City Council

John Mercer

John Mercer

Head of Data Science, Pixability

Antonio Carbajal Turner

Antonio Carbajal

Vice President, Data Science, Turner (Turner Broadcasting System, Inc)

Siva_Kumpatla-230x230

Dr. Siva Kumpatla

Chief Data Scientist, Dow AgroSciences

Mike-Berges-230x230

Mike Berger

VP, Pop Health Informatics and Data Science, Mount Sinai Health System

Reto-Matter-230x230

Reto Matter

SVP Data Services & Analytics, Li & Fung

Thomas-Vincent-Getty-Images-230x230

Thomas Vincent

Head of Data Science, Getty Images

Victor-Lo-Fidelity-230x230

Victor Lo

Head of Data Science and Artificial Intelligence, Workplace Solutions, Fidelity Investments

Sriram-Subramanian-Conde-nast-230x230

Sriram Subramanian

Head of Data Science, Condé Nast

Sachin-Ahuja-CNH-Industrial-230x230

Sachin Ahuja

Chief Data Scientist and Global Director, CNH Industrial

0-230x230

Tom Hamilton

VP, Head of Analytics Center of Excellence, Voya Financial

Dan-Wulin-Wayfair-230x230

Dan Wulin

Director, Data Science, Wayfair

robin

Robin Thottungal

Chief Data Scientist, U.S. Environmental Protection Agency

Jennifer-Gilbert-230x230

Jennifer Gilbert

Cybersecurity Strategist - Industry and Academia, NSA Office of the National Manager for National Security Systems

Sears Mettiyy - MassMutual

Dr. Sears Merritt

Chief Data Scientist, MassMutual Financial Group

Sanji Fernando - UnitedHealthGroup

Sanji Fernando

Vice President, OptumLabs Center for Applied Data Science, UnitedHealth Group

Rajeeve Kaul

Mr. Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

Mukesh Dalal - Bose

Mukesh Dalal

Global Head of Data Science and Analaytics, Bose

Matt Shump - Endurance

Mr. Matt Shump

Head of Analytics and Data Science, Endurance International Group

Mark Wang

Dr. Mark Wang

Chief Data Scientist, Alorica

Krishna Iyer - State of Illinois

Dr. Krishna Iyer

Chief Data Scientist, State of Illinois

John Behrens - Pearson

John Behrens

VP, Advanced Computing and Data Science Lab , Pearson

Joel Amick-TIAA

Mr. Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Eric Nyabiosi - Comcast

Mr. Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

Dipti Patel Misra

Dipti Patel-Misra

Chief Data & Analytics Officer, Vituity

View Speakers

The Innovation Game

How Data is Driving Digital Transformation

As part of our ongoing commitment to data and analytics professionals, we interviewed 100 senior data and analytics professionals. The study was commissioned by Paxata, Accenture and Microsoft and the results are presented with commentary from our advisory board members and sponsors.

The following report is designed to give an overview of the challenges, opportunities and technology requirements facing those responsible for accelerating data and analytics within their organization.

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Why invest your time?

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Specific to Your Role & Business Driven

This is not ‘just another data science event’ – it focuses on both the technical and strategic elements of leading data science in your organization. This means we bring you different, new, and tailored data science insights. 

Networking

Interactive Format, Outstanding Networking

With 12 conversational break-outs dedicated to data science, plus a pre-conference focus day, tailor the agenda to your needs and benefit from the conversational break-outs. Plus, with 6+ hours of networking, the event provides crucial conversations and connections.

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Exchange Knowledge and Learn from Experts

Hear from your peers, with industry leading speakers sharing the most successful data science projects from start to finish. Reduce prep time, keep up-to-date with the latest innovations, and discover insights applicable to your use case.

What people are saying

  • “Chief Data Scientist, USA was a unique experience which I really enjoyed. The speakers and panelists were from different domains and industries which enrich the content of the conference given that they were among the thought leaders in their domain."

    Lead Data Scientist, CareerBuilder

  • “It was enlightening to attend an event that is focused on the management aspect of data science rather than the technical aspect.”

    Director of Spike Labs, Edlio

  • “ I liked how applied it was. Great conversations to learn from real world experiences”.

    Director, Intelligent Computing Research, Pearson

  • “Great networking opportunity with companies who value Data Science as a core tenet of their business”

    Account Executive, Domino Data Lab

Global Data Community

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Building on our global conference series....

Data Science New York is built on research with local Data Science leaders but also leverages our global Chief Data, Data Science and Analytics Officer community. We’re able to bring you content and speakers from international thought-leaders who have walked the path of analytics development.

Join our global 'hangout' community:

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