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Transform Your Enterprise into a Data Science & AI Powerhouse

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

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Join us in New York,  January 23-24, 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

100 Attendees

65% C-Level

6+ Hours Networking

8

Meet the Advisory Board

Venkat Krishnamurthy

Venkat Krishnamurthy

VP, Product Management, OmniSci

Venkat Krishnamurthy

Venkat Krishnamurthy

VP, Product Management, OmniSci

Salah Zalatimo

Salah Zalatimo

Chief Data Officer, Forbes

Salah Zalatimo

Salah Zalatimo

Chief Data Officer, Forbes

- Integrated the Product Development, Tech and Audience Development groups to form the new Digital Group
- Responsible for Digital Strategy and Operations, including Product, Design, Audience Development, Engineering and eCommerce
- Oversee all digital platforms serving 120+ million readers per month, 2,500+ writers and 38+ million social followers
Darron Smith

Darron Smith

Head of Insider Threat Program, Bloomberg LP

Darron Smith

Darron Smith

Head of Insider Threat Program, Bloomberg LP

Ean Mikale

Ean Mikale

Founder & Chief Innovation Officer, Infinite 8 Institute

Ean Mikale

Ean Mikale

Founder & Chief Innovation Officer, Infinite 8 Institute

Piotr Niedzwiedz

Piotr Niedzwiedz

Founder & CEO, neptune.ml

Piotr Niedzwiedz

Piotr Niedzwiedz

Founder & CEO, neptune.ml

Since writing his first line of code at the age of 7, serial entrepreneur Piotr Niedzwiedz always dreamed of founding his own technology company. By the age of 30, he fulfilled his dream not once, but three times: he founded CodiLime, a 200-people IT solution provider, deepsense.ai, a data science solutions company, and his latest venture – Neptune, a data science platform that enables expert data scientists to develop the most accurate machine learning models that help drive organizations’ competitive edge.
Piotr, Poland’s 2010 Champion in Collegiate Programming, has a passion for technology, boxing, and competing to win.
Aziz Lookman

Aziz Lookman

Chief Analytics Officer, RationalAi

Aziz Lookman

Aziz Lookman

Chief Analytics Officer, RationalAi

Experienced credit risk analytics professional, with a track record of delivering projects with multi-million dollar benefits. I've built and managed global multi-disciplinary analytic teams. I am good at my craft, take care of my colleagues and get things done. I'm still hands-on and code on most days (enjoy it!).
Mihaela Nistor

Mihaela Nistor

Head of Enterprise Risk Management, Bloomberg LP

Mihaela Nistor

Mihaela Nistor

Head of Enterprise Risk Management, Bloomberg LP

Alberto Artasanchez

Alberto Artasanchez

Artificial Intelligence Lab Director, Knowledgent, a part of Accenture

Alberto Artasanchez

Alberto Artasanchez

Artificial Intelligence Lab Director, Knowledgent, a part of Accenture

Accomplished and energetic technologist with a solid history of achievement in a variety of industries with a background on Artificial Intelligence, Machine Learning, Big Data, and Cloud technologies. Motivated leader with strong organizational, communication and prioritization skills. Vast experience applying Python, Java and SQL for algorithm development, data modeling, EDA and data visualization. Hands-on experience applying machine learning algorithms to real-world problems. Strong track record building end-to-end machine learning platforms at scale. Deep and broad understanding of the state of the art AI/ML ecosystem.
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Mark Roy

Partner Solutions Architect , Amazon Web Service (AWS)

roymark-archive-badge-photo-lolores

Mark Roy

Partner Solutions Architect , Amazon Web Service (AWS)

Mark Roy is a Partner Solutions Architect with Amazon Web Services (AWS).  He joined AWS in 2018 and brings decades of technology experience, primarily in the financial services industry.  Mark has held a mix of individual contributor roles as an architect and lead developer, as well as leadership roles including technical product management, development management, and technology strategy development. His primary technology focus is on Machine Learning.
Dr. Robert Toguchi Resume Photo (2)

Robert Toguchi

Chief, Concepts Division, US Army Special Operations Command (SOCOM)

Dr. Robert Toguchi Resume Photo (2)

Robert Toguchi

Chief, Concepts Division, US Army Special Operations Command (SOCOM)

Dr. Robert M. Toguchi is currently serving as the Chief, Concepts Division, G9 Directorate, in the U.S. Army Special Operations Command at Fort Bragg, North Carolina.  Artificial Intelligence and Machine Learning initiatives are a significant part of the ongoing Concept work at this command.  He has spent over 30 years on active military duty while serving as a Functional Area 59 strategist for the U.S. Army.   His past assignments included a tour as the Director, Strategic Plans and Chief, ARCIC Initiatives Group, TRADOC.  In the Pacific region, he spent a tour with the U.S. Pacific Command while serving as the Deputy Director, J8; and the Chief, Strategic Plans, J5 Directorate, USPACOM.  Dr. Toguchi was also assigned to Africa in 2005 while serving as the senior U.S. military observer to the U.N. Mission in Liberia.  Previously, he served on the faculty and taught military strategy at the U.S. National War College, National Defense University.  Dr. Toguchi received a B.S. degree concentrating in Engineering, from the U.S. Military Academy in 1980; and received a PhD in History from Duke University in 1994.
Nathan Sutton

Nathan Sutton

Data Scientist, Vituity

Nathan Sutton

Nathan Sutton

Data Scientist, Vituity

Deepna Devkar

Deepna Devkar

VP, Head of Data Science, Dotdash

Deepna Devkar

Deepna Devkar

VP, Head of Data Science, Dotdash

Deepna Devkar is the Vice President and Head of Data Science for Dotdash, one of the fastest-growing publishers online. Deepna was a Neuroscientist for 10 years, studying the psychological and neural underpinnings of human behavior. Her scientific quest has included questions like “How does the brain process our rich, visual world?” to “What limits us from remembering an infinite amount of information that we encounter in our lifetime?”
 
In 2015, she joined Viacom Media Networks as the first Data Scientist in the group. At Dotdash, Deepna manages a team of Ph.D. Data Scientists who share her passion of deriving insights from data. She finds that human behavior is just as fascinating to study in the real world as it was in a laboratory.
Dan Bio

Daniel Costanza

Chief Data Scientist, Citi

Dan Bio

Daniel Costanza

Chief Data Scientist, Citi

 Dan is a senior data scientist / investment banker with global responsibility for bringing modern data science & machine learning tools to bear on traditional investment banking client dialogs. Dan acts as a critical interface between developers and decision makers, ensuring the creation and application of practical tools for generating useful and actionable insights around transactions.
 
In addition to traditional investment banking experience, Dan brings experience in application & web development, data science, and machine learning. Prior to joining Citibank, Dan built the global data science franchise in Goldman Sachs’ investment banking division, where he ran the debt capital markets and later mergers & acquisitions analytics teams, in addition to founding the Goldman Sachs India investment banking analytics office.
 
Dan graduated with Honors from Williams College with a B.A. in Economics, Mathematics and Statistics.
Michael Simon

Michael Simon

Chief of Analytics, Central Intelligence Agency (CIA)

Michael Simon

Michael Simon

Chief of Analytics, Central Intelligence Agency (CIA)

Chris Hutchins-1

Chris Hutchins

AVP, Healthcare Analytics, Northwell Health

Chris Hutchins-1

Chris Hutchins

AVP, Healthcare Analytics, Northwell Health

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.

 

Edmund-Jackson-HCA-230x230

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.

 

Carl Gold Zuora

Carl Gold

Chief Data Scientist, Zuora

Carl Gold Zuora

Carl Gold

Chief Data Scientist, Zuora

Chief Data Scientist at Zuora, Inc  (NYSE: ZUO), the leader in subscription business management software. He is a specialist in Churn analysis, having analyzed subscriber churn for more than 50 companies in his years at Zuora.  Carl is now writing a book on churn entitled Fighting Churn with Data, to be published by Manning Publications in 2019 and selected previews from the book can be found on Carl's website blog at www.grokchurn.com

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.

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-1

Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

Rajeeve Kaul-1

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.

Siva

Siva Kumpatla

Global Leader, Data Science, Dow AgroSciences

Siva

Siva Kumpatla

Global Leader, Data Science, Dow AgroSciences

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

BNSF

Pooja Dewan

Chief Data Scientist, BNSF Railway

BNSF

Pooja Dewan

Chief Data Scientist, BNSF Railway

Haftan-Eckholdt-Plated-230x230

Haftan Eckholdt

Chief Data Officer & Chief Data Science Officer, Understood.org

Haftan-Eckholdt-Plated-230x230

Haftan Eckholdt

Chief Data Officer & Chief Data Science Officer, Understood.org

Building insights and building programs for individuals with learning differences to complementexisting experiences for their parents, their teachers, and their employers. Learn how to learn.

jeff_bx_headshot-230x230

Jeffrey Sternberg

SVP, Data Science Engineering, The Blackstone Group

jeff_bx_headshot-230x230

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.

 

Alaa Moussawi

Alaa Moussawi

Chief Data Scientist, New York City Council

Alaa Moussawi

Alaa Moussawi

Chief Data Scientist, New York City Council

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.
Glenn Grossman

Glenn Grossman

Global Director of Forecasting, Insights and Analytics, Sanofi

Glenn Grossman

Glenn Grossman

Global Director of Forecasting, Insights and Analytics, Sanofi

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.

 

Thomas-Vincent-Getty-Images-230x230

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.

 

Sriram Subramanian Conde nast

Sriram Subramanian

Head of Data Science, Condé Nast

Sriram Subramanian Conde nast

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.

 

0-230x230

Tom Hamilton

VP, Head of Analytics Center of Excellence, Voya Financial

0-230x230

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.

 

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, Center for Applied Data Science, OptumLabs

Sanji Fernando - UnitedHealthGroup

Sanji Fernando

Vice President, Center for Applied Data Science, OptumLabs

SANJI FERNANDO is a Vice President at OptumLabs, where he leads The Center for Applied Data Science (CADS).  CADS focuses on the application of new data science methods to solve complex health care challenges by applying breakthrough innovations in artificial intelligence and machine learning to create software product concepts.  

Sanji joined OptumLabs in 2014 from Nokia, where he was the Head of Data Science for Nokia’s Cloud Computing Group and HERE, Nokia’s navigation services division.  Sanji spent 9 years at Nokia in a variety of roles with Nokia’s Multimedia Division, Nokia Research and Nokia Ventures.

Prior to Nokia, Sanji was a co-founder and VP of Engineering of a venture-backed mobile software company, Vettro.  Sanji began his career in management consulting.

Sanji is a graduate of Trinity College with a bachelor’s degree in computer science.  He lives in the Boston area with his wife and three boys.  In his free time, Sanji enjoys coaching his sons in basketball and baseball.   

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.

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.

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.

8

45+ Inspiring Speakers

Meet Our 2019 Speakers

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

Venkat Krishnamurthy

Venkat Krishnamurthy

VP, Product Management, OmniSci

Salah Zalatimo

Salah Zalatimo

Chief Data Officer, Forbes

Darron Smith

Darron Smith

Head of Insider Threat Program, Bloomberg LP

Ean Mikale

Ean Mikale

Founder & Chief Innovation Officer, Infinite 8 Institute

Piotr Niedzwiedz

Piotr Niedzwiedz

Founder & CEO, neptune.ml

Aziz Lookman

Aziz Lookman

Chief Analytics Officer, RationalAi

Mihaela Nistor

Mihaela Nistor

Head of Enterprise Risk Management, Bloomberg LP

Alberto Artasanchez

Alberto Artasanchez

Artificial Intelligence Lab Director, Knowledgent, a part of Accenture

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Mark Roy

Partner Solutions Architect , Amazon Web Service (AWS)

Dr. Robert Toguchi Resume Photo (2)

Robert Toguchi

Chief, Concepts Division, US Army Special Operations Command (SOCOM)

Nathan Sutton

Nathan Sutton

Data Scientist, Vituity

Deepna Devkar

Deepna Devkar

VP, Head of Data Science, Dotdash

Dan Bio

Daniel Costanza

Chief Data Scientist, Citi

Michael Simon

Michael Simon

Chief of Analytics, Central Intelligence Agency (CIA)

Chris Hutchins-1

Chris Hutchins

AVP, Healthcare Analytics, Northwell Health

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

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Subhashini Tripuraneni

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

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Edmund Jackson

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

Carl Gold Zuora

Carl Gold

Chief Data Scientist, Zuora

Eric Nyabiosi - Comcast

Eric Nyabiosi

VP - Head of AI ML Predictive Modeling, Comcast

Mark Wang

Mark Wang

Chief Data Scientist, Alorica

Rajeeve Kaul-1

Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

Siva

Siva Kumpatla

Global Leader, Data Science, Dow AgroSciences

Joel Amick-TIAA-1

Joel Amick

Director, Cyber Analytics and Data Science, TIAA

Philipp Diesinger

Philipp Diesinger

Global Chief Data Scientist, Boehringer Ingelheim

BNSF

Pooja Dewan

Chief Data Scientist, BNSF Railway

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Haftan Eckholdt

Chief Data Officer & Chief Data Science Officer, Understood.org

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Jeffrey Sternberg

SVP, Data Science Engineering, The Blackstone Group

Alaa Moussawi

Alaa Moussawi

Chief Data Scientist, New York City Council

Antonio Carbajal Turner

Antonio Carbajal

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

Glenn Grossman

Glenn Grossman

Global Director of Forecasting, Insights and Analytics, Sanofi

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

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Thomas Vincent

Head of Data Science, Getty Images

Sriram Subramanian Conde nast

Sriram Subramanian

Head of Data Science, Condé Nast

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Sachin Ahuja

Chief Data Scientist and Global Director, CNH Industrial

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Tom Hamilton

VP, Head of Analytics Center of Excellence, Voya Financial

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Dan Wulin

Director, Data Science, Wayfair

Sears Mettiyy - MassMutual

Dr. Sears Merritt

Chief Data Scientist, MassMutual Financial Group

Sanji Fernando - UnitedHealthGroup

Sanji Fernando

Vice President, Center for Applied Data Science, OptumLabs

Rajeeve Kaul

Mr. Rajeeve Kaul

Global Chief Pricing Officer, McDonald's

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

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

View Our 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.

Download Report

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.

Register Now

INteractive-Agenda

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

CDS

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:

CDS Hangout

CDO Hangout

CAO Hangout

 

Join Now

Previous partners

  • Big Data Made Simple - logo
  • COGNITIVE-WORLD-Logo2018-CW
  • DBUSA.com
  • Datafloq_Logo_Web-300x82
  • data-science-platform-logo-300x257
  • DominoDataLab
  • FF_LogoFinal_Black
  • IBM Logo
  • kdnuggets_Logo
  • logo NEPTUNE-Horizontal[929]
  • OmniSci_Primary_Blue
  • logo-white-backhround-300x70
  • sas
  • TheDataIncubator_logo_bluebox_NEWNEW
  • Tiger Analytics New Logo
  • Wipro-Logo
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Register for DSNY 2019

Join leading data science professionals for 2 full days of content, networking and discussions that you won't experience anywhere else! Click the button below to reserve your seat!
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