October 29-November 2, 2017
New York
Delivering on the promise of data science

Speakers

 Anasse Bari

Anasse Bari

University Professor of Computer Science

New York University

Anasse Bari (Ph.D.) is data mining expert and a university professor of computer science at NYU who has many years of predictive modeling and data mining experience. Bari has recently worked closely with leadership of the World Bank Group as a data scientist where he was leading the design of enterprise data analytics projects. Bari is the co-author of the book Predictive Analytics for Dummies, Wiley.

Session: Wall Street and the New Data Paradigm

 Kevin Colberg

Kevin Colberg

Director of Analytic Engineering

Dealertrack (subsidiary of Cox Automotive)

Kevin is an IT Professional with extensive experience implementing, aligning and governing business intelligence and data analytics solutions, with 15 years of BI and Analytic experience. Strengths include technology and team leadership, strategic planning, business analytics, project management and customer communication, combined with a deep technical background and ability to be effective in strategic and tactical initiatives.

Session: Data Brokering for the Lender Community - Building an analytics based product using composite data

Dr. John Elder

Dr. John Elder

CEO & Founder

Elder Research, Inc.

@johnelder4

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

Special Featured Session: TBA

 Dongyang Fu

Dongyang Fu

Data Scientist

Concord Advice

Dongyang Fu is a data scientist at Concord Advice. He has more than two years experience working in risk related fields. He actively attempts to apply advanced data mining techniques in solving business problems. Prior to joining Concord Advice, he was an analytic consultant in EXL Services focused on small business lending. Dongyang holds a Masters of Science in Operations Research from Columbia University and B.S. in Industrial Engineering from Purdue University.

Session:  Improving Credit Scoring with Hierarchical Bayesian Modeling

 Rita Fuller

Rita Fuller

Corporate Vice President, Center for Data Science and Analytics

New York Life

Rita is a data scientist at New York Life with over 20 years experience applying advanced analytics to solve business problems. Her current focus at NYL is marketing analytics as well as analytic community development and analytics education.

Prior responsibilities include bridging the gap between advanced analytics and traditional insurance functions (actuarial experience studies (mortality and lapse), reinsurance, underwriting, life pricing, ...), analytic team development and analytic project management. Prior to NYL, Rita worked at bluefly.com, Cendant, and Trans Union. She graduated from Ohio State University with a Masters in Applied Statistics.

Session: Risk Prediction in Life Insurance Industry

 Simon Gao

Simon Gao

Corporate Vice President, Data Science & Advanced Analytics

New York Life

Simon Gao Corporate Vice President, Data Science & Advanced Analytics, New York Life Direct. Simon has been employed at New York Life since 2016. He has years of experience in managing data science and analytics teams across industries.

He currently leads the Data Science function for New York Life Direct. Responsibilities include predictive modeling, database marketing & marketing analytics, Underwriting Modeling, Call Center optimization, Digital channel/media attribution and optimization. Simon had worked in analytics leadership positions in Accenture, CUNA Mutual Group, CNO Financial Group, Citibank Cards. Simon graduated from the University of Florida with a PhD. degree in applied economics.

Session: Risk Prediction in Life Insurance Industry

 Aaron Goldenberg

Aaron Goldenberg

Independent Quantitative Consultant

Aaron is an independent quantitative consultant developing applications of TensorFlow for algorithmic trading. He holds advanced degrees in math and law and has worked previously with a structured products group at Societe Generale as well as a number of hedge funds developing algorithmic trading strategies.

Session: Predictive Modeling using Deep Learning with TensorFlow

 James Gottshall

James Gottshall

Vice President, Strategic Analytics

XL Catlin

James joined XL Catlin in January 2017 as a Vice President and Business Solutions Consultant on the Strategic Analytics team. He is responsible for leading large and complex analytics projects that enhance decision-making processes and that add tangible business value. James liaises with business leaders, data engineers, and data scientists to create highly impactful business solutions that drive behavioral changes. Prior to joining XL Catlin, James worked at Selective Insurance as an Assistance Vice President of Analytics Strategy. In that role, he was responsible for creating and subsequently executing the analytics strategy to infuse a culture of analytics across the entire organization. James also served as an Assistant Vice President of Claim Analytics Integration at Chubb, where he led the integration efforts within claims advanced analytics.

James earned his B.S. degree in mathematics from Pennsylvania State University. He also serves the United Way of Northern NJ as a Board Trustee.

Session: Model Deployment - If You Build It, Will They Come?

 Michael Grandy

Michael Grandy

AVP, Data Science

MetLife

Session: Pragmatic Analytics for Financial Services

 Sameer Gupta

Sameer Gupta

Principle

Ernst & Young

Sameer is a principal and leads the Advanced Analytics practice within the Financial Services Office at Ernst & Young, LLP. Sameer joined EY in 2014 from Opera Solutions Inc., where he was GM and founder of the Consumer Finance and Risk Division. He played a key role in building Opera Solutions Inc., a company recognized by Forbes and Gartner as on the top 5 analytics services in the world. 

He has a strong track record of working with C-suite leaders of Fortune 100 companies to develop and implement transformational business strategies leveraging advanced analytics. Sameer brings a wealth of advanced analytics related knowledge and experience working with a broad client base in banking, capital markets and insurance.

Session: Growing Customer Relationship Value through Analytics

 Julia Minkowski

Julia Minkowski

Risk Analytics Manager

Fiserv

Julia is an accomplished professional with experience in Software Development, Business Intelligence, Risk Management and Data Analysis in both large corporate environments and start-ups. Currently she is managing Fraud and Credit Risk at Fiserv Inc. for over 2,500 US Banks and Financial Institutions saving millions of dollars of potential Identity fraud and credit risk. She suggests data driven decisions to the Corporate Executive management. Prior to this, Julia held various positions at Telecom and in the Banking/Financial Industry, evolving from managing the Billing Operations through Oracle Development, Analysis and Reporting, Data Warehouse into Predictive Analytics in Identity Fraud Detection.

Julia holds a Bachelor's Degree in Sociology and Geography from the Hebrew University of Jerusalem, Software Programming Certificate from John Bryce Institute, MBA from Ha'Universita Ha-Ptuha of Israel, and Strategic Decision and Risk Management Certificate from Stanford University. She is native of Russia and is based in the Silicon Valley.

Keynote: Real-Time Fraud Detection: Strategies for Speed and Actionability

 Stephen Morse

Stephen Morse

Former Head of Global Financial Data Partnerships and Advisor

Twitter and Neudata

Stephen has a long career in entrepreneurial, disruptive businesses, especially in and around data, hedge funds, FinTech and business information services, including with firms that were acquired by, or are now a part of Barra/MSCI, Dow Jones, KCG and Twitter. As former Head of Global Financial Data Partnerships at Twitter, Stephen was responsible for all business with hedge funds, asset managers, banks, FinTech partners, platforms and other financial institutions. He joined via acquisition of Gnip, where he opened and ran the New York City office. Stephen now consults in the areas of AI and big and alternative data, including as an advisor to Neudata, who partners with hedge funds and asset managers as an independent, data-sourcing network, and is at the forefront of new and alternative data innovation in capital markets. Stephen is a CAIA® charterholder.

Session: Leveraging Alternative Data Sources to Gain a Critical Competitive Advantage

 Mei Najim

Mei Najim

Director

Gallagher Bassett

Mrs. Mei Najim is currently the Director of Advanced Analytics at Gallagher Bassett. She is responsible for leading advanced analytics capability development. Mrs. Najim has over 10 years of analytics experience in both personal and commercial line in the areas of predictive analytics, claim analytics, catastrophe risk analytics, actuarial reserving, and actuarial pricing analytics in the Property & Casualty insurance industry. She has presented in industry conferences to share her paper and expertise in predictive analytics. She holds a Bachelor of Science in Actuarial Science from Hunan University and two separate Master of Science degrees, in Applied Mathematics and in Statistics from Washington State University. Mei is a member of the American statistical Association.

Session: Workers' Compensation Litigation Propensity Predictive Analytics

 Yulin Ning

Yulin Ning

Senior Director in Global Decision Management

Citigroup

Yulin Ning is a Senior Director in Global Decision Management, a global strategy and analytic division in Citi's Global Consumer Bank. He currently leads next generation analytics efforts within Platform and Capability function, acting as a chief data scientist, aiming to accelerate global adoption of big data and machine learning for creative business solutions. He developed expertise in digital (clickstream), text mining, voice analytics, big data, and machine learning. His most recent interests are on deep learning and artificial intelligence.

Over 18 years at Citi, Yulin has been actively involved in building some of the key decision management disciplines in the areas of price management, stress test capabilities, optimization, big data / machine learning roadmap, and data scientist disciplines. He worked with a range of financial and technology companies, vendors, and universities specializing in analytics and emerging technologies. He holds a Ph.D. in Agricultural Economics.

Session: Predictive Analytics in Today's Era of Digital, Machine Learning, and AI: A Financial Industry Perspective

 Steven Ramirez

Steven Ramirez

CEO

Beyond the Arc

@beyondthearc

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

Keynote: Chatbots, Robo-Advisors, and AI, Oh My! Predictive Analytics and Machine Learning Case Studies for Financial Services and FintechBA

 Anne G. Robinson

Anne G. Robinson

Executive Director, Strategy, Analytics and Systems

Verizon

@agrobins

Anne G. Robinson is the Executive Director of Global Supply Chain Strategy, Analytics and Systems, at Verizon, a Fortune 15 company and leading provider of wireless, fiber-optic and global internet networks and services. She is responsible for the overarching strategic vision across Verizon's end-to-end supply chain which includes the wireless consumer supply chain, network supply chain, video and internet supply chain as well as global sourcing and procurement. Additionally, her team drives supply chain excellence through world class data-analytics, process innovation, and employee empowerment to achieve a holistic, collaborative and customer centric supply chain organization, that results in improved product life cycle management, working capital optimization, and shareholder value.

Prior to joining Verizon Wireless, Anne spent several years with Cisco Systems, a high tech networking company, where her responsibilities included managing advanced analytics, business intelligence, and performance management teams across the supply chain. As the driving force for many foundational and cross-functional process innovations, she helped establish Cisco's presence and recognition as a leader in business intelligence and analytics, including being inducted into the balanced scorecard hall of fame.

Anne is originally from St. John's, Newfoundland, Canada. She has a Bachelor of Science with Honours in Mathematics from Acadia University, a Master of Applied Science in Management Science from University of Waterloo and a Masters and PhD in Industrial Engineering from Stanford University.

Anne is a Past President of INFORMS (the Institute for Operations Research and the Management Sciences), a professional organization focused on applying advanced analytical theory and practice for making better business decisions. She is a popular industry speaker and has served on several advisory boards including the advisory board for the Stevens Institute of Technology Masters Of Science in Business Intelligence & Analytics. A constant champion for analytics, Anne is the founding editor of INFORMS Editor's Cut, an online multimedia collection examining important topics in operation research and analytics. A frequent tweeter, you can follow Dr. Robinson @agrobins.

Expert Panel: Women in Predictive Analytics: Opportunities and Challenge

 Wen Shi

Wen Shi

Data Scientist

Concord Advice

Wen Shi is a data scientist at Concord Advice. He is focused on risk management solutions using advanced statistical methodologies as well as ML techniques. Prior to joining the company, he worked as a financial analyst in Harvard Management Associates Inc., and provided risk measurements for NASDQ listing and pipe financing. Wen holds a Master's degree in Financial Statistic and Risk Management from Rutgers University and a bachelor's degree in Economics from Shanghai University of International Business and Economics. 

Session:  Improving Credit Scoring with Hierarchical Bayesian Modeling 

 Li Yang

Li Yang

Senior Data Scientist

Plymouth Rock

Li Yang is a senior data scientist at Plymouth Rock Assurance of New Jersey, an automobile and homeowner insurance firm with operations throughout the Northeast U.S. 

For the past six years, he has worked on a variety of insurance-related assignments including loss modeling, marketing and lifetime value, underwriting, and claims analytics. His expertise lies in the detection of fraud and abuse through predictive analytics. Prior to his foray into the world of data science, Li spend five years in various technical roles at financial services and high tech firms.

Li holds an MS in Applied Statistics from California State University - Long Beach and a BS in Computer Engineering from the University of Michigan - Ann Arbor. 

Session: How to Prevent Medical Abuse in Automobile Injury Claims Through Predictive Analytics

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