Predictive Analytics World for Financial 2022
June 19-23, 2022 l Caesars Palace, Las Vegas
Dean Abbott is cofounder and chief data scientist at SmarterHQ, a Wunderkind Company. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with more than three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of top pioneering and influential data scientists.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014, 2nd edition forthcoming) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.
He holds a Bachelor's Degree in Computational Mathematics from Rensselaer Polytechnic Institute and a Master of Applied Mathematics from the University of Virginia.
Tucker Balch is speaking in the following session:
Vladimir Barash is Director Graphika Labs. He has received his Ph.D. from Cornell University, where he studied Information Science and wrote his thesis on the flow of rumors and virally marketed products through social networks. At Graphika, Vladimir's research focuses on deep learning applications of network analysis, detection and deterrence of disinformation operations on networks, and causal mechanisms of large-scale social behavior.
In addition to his research duties, Vladimir has a decade's experience working with big data, from scientific computing (Matlab, scipy) to parallel processing technologies (Hadoop / Hive) to data storage and pipelining (Redis, mongodb, MYSQL) at the terabyte scale. At Graphika, Vladimir has co-designed and implemented systems that process tens of millions every six hours to deliver timely information on influencers and conversation leaders in online communities tailored to client interests. Vladimir is proficient in over a dozen programming languages and frameworks and has designed production-ready systems for every stage of big data analysis, from collection to client-facing presentation via web, spreadsheet or graphic visualization.
Vladimir has been active in the Social Media Research Foundation (SMRF) and the NodeXL project, helping build a network analysis package that brings relational data analysis at scale to the fingertips of any interested user, without requiring specialized knowledge or technical training beyond familiarity with Microsoft Excel. NodeXL has enabled users in academia, industry and the general public to analyze tens of thousands of social networks, from networks of politicians voting on bills to networks of motorcycle enthusiasts working together. As part of his work with SMRF and the NodeXL team, Vladimir has contributed a chapter on Twitter analysis to Analyzing Social Media Networks with NodeXL: Insights from a Connected World.
Vladimir's work has received awards at the International Conference for Weblogs in Social Media and Bits on Our Minds. He has presented his research at academic and industrial campuses all over North America and Europe, including: Xerox/PARC, Microsoft, Colgate University, Northeastern University, UMCP and Oxford University (Oxford Internet Institute). He currently resides in Somerville, MA.
Senior Director, Data Science and Machine Learning
Jodi Blomberg leads the enterprise data science and machine learning teams that integrate models into applications across Waste Management. Former head of data science at Charles Schwab. Experienced data science executive with wide track record in creating products that embed NLP, computer vision, machine learning, statistical modeling, and optimization to create demonstrable value.
Jodi Blomberg is speaking in the following session:
Principal and Consulting Actuary
Peggy is a Fellow of the Casualty Actuarial Society, a Member of the American Academy of Actuaries, and a Principal and Consulting Actuary with Milliman. She has 30 years of experience in the insurance industry specializing in predictive model development and review, including the development of models for use in ratemaking, underwriting, retention, and other operational uses for homeowners, residential property, and commercial insurance, using a variety of data sources and predictive modeling techniques. Prior to joining Milliman, Peggy was Director of Analytics and Insights at the Allstate Research and Planning Center in Menlo Park, California.
Peggy Brinkman is speaking in the following session:
Clinton Brownley, Ph.D., is a data scientist at WhatsApp, where he’s responsible for a variety of analytics projects designed to improve messaging and VoIP calling performance and reliability. Before WhatsApp, Clinton was a data scientist at Facebook, working on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions. As an avid student and teacher of modern analytics techniques, Clinton is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis,” and also teaches Python programming and data science courses at Facebook and in the Bay Area. Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.
Aaron Cheng Ph.D.
Vice President of Data Science & Solutions
Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.
Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.
Aaron received his Ph.D. degree in Applied Physics from Northwestern University.
Aaron Cheng Ph.D. is speaking in the following session:
Former cofounder of Google X & Founder
Tom Chi has worked in roles ranging from astrophysical researcher to Fortune 500 consultant to corporate executive leading hardware/software team to develop innovative products & services. He pioneered and practices a unique approach to rapid prototyping and leadership that can jumpstart innovative new ideas and move large organizations at unprecedented speeds. He was head of Product Experience and a founding member of Google X, and currently works to accelerate a future where humanity becomes a net positive to nature as Managing Partner of At One Ventures.
Tom Chi is speaking in the following session:
Director of Data Science & AI
Brandon Cosley is speaking in the following session:
Head of Data Sciences and Innovation
Dr. Om Deshmukh is Head of Data Sciences and Innovation at Envestnet. Om and team drive foundational data sciences initiatives to mine actionable insights from the peta-bytes of data that flows through their network. Om is a Ph.D. in Machine Learning from University of Maryland, College Park. He has 50+ international publications (several best paper awards) and 50+ patents (filed/granted). In 2019, his data science team at Envestnet-Yodlee was recognized as one of the top 10 data science teams to work at in India. In 2017, he was recognized as one of the top 10 data scientists in India. His team won the Govt of India National Award for the Best Accessible Technology (2008). He spent close to a decade in IBM Research and Xerox Research driving various state-of-the-art Machine Learning initiatives for global technical research, technology strategy and start-up partnerships.
Om is a well-known Machine Learning and Data Sciences authority in industry and academia, with several active collaborations across leading academic and not-for-profit institutions.
Om Deshmukh is speaking in the following session:
John Elder Ph.D.
Founder & Chair
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. 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.
John Elder Ph.D. is speaking in the following session:
Usama Fayyad Ph.D.
Executive Director, Chairman
Usama Fayyad is the Executive Director of the Institute for Experiential AI and Chairman of Open Insights, a technology and consulting firm he founded in 2008. His previous roles include co-Founder & CTO at OODA Health, Inc., Global Chief Data Officer at Barclays Bank. Fayyad was also the first person to hold the Chief Data Officer title when Yahoo acquired his second startup in 2004. There, he built the Strategic Data Solutions group and founded Yahoo Research Labs. He held leadership roles at Microsoft and founded the Machine Learning Systems group at NASA's Jet Propulsion Laboratory. He has published over 100 technical articles, edited two books, holds over 20 patents, and is an ACM and AAAI Fellow. Usama has served on the boards/advisory boards of private and public companies.
Usama Fayyad Ph.D. is speaking in the following session:
Vice President, Engineering
Bala Ganesh leads the Operation Technology, Advanced Technology & Technology Support Groups at UPS. He joined UPS in 2012 as a Program Manager for UPS’s customer technology group. Thereafter he had stints in Global Retail Strategy and the Advanced Analytics & Revenue Management groups.
Prior to joining UPS, Bala was a consultant with McKinsey & Co. He has also worked as an Aerospace Engineering researcher at the Georgia Institute of Technology. Early in his career, Ganesh served as a pilot in the Indian Air Force.
Bala earned a PhD in Aerospace Engineering with a minor in Math along with an MBA from the Georgia Institute of Technology. He graduated from the Indian National Defense Academy and Air Force Academy with his undergraduate degree.
Sr. Data Scientist, Self-Driving Vehicles, Medical Instruments & Deep Learning
Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.
Siddha Ganju is speaking in the following session:
Hussain Jiwani is quantitative analyst at CHS Inc. He has been with CHS since 2014. He is responsible for developing analytics and forecasting models to improve profitability and manage risk across several fronts. Hussain's demonstrated ability to extrapolate and interpret vast amounts of data adds tremendous value to CHS, its owners and customers.
His work experience is broad and deep, from fixed income and equity derivatives to futures and options. Prior to joining CHS, he spent 11 years as a senior quantitative research analyst with Waterstone Capital Management, Plymouth, Minn., where his research and risk management analysis on convertible and distressed bonds helped fuel the startup hedge funds growth from under $100 million to $1.5 billion. He also held quantitative research analyst positions with DRW Trading Group and JPMorgan Chase.
Hussain Jiwani is speaking in the following session:
Chief Data Scientist
Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York and Government R Conferences, an Adjunct Professor at Columbia Business School, and a Visiting Lecturer at Princeton University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. Jared oversees the long-term direction of the company and acts as Lead Data Scientist, researching the best strategy, models and algorithms for modern data needs. This is in addition to his client-facing consulting and training. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization and statistical computing. He is the author of R for Everyone (now in its second edition), a book about R Programming geared toward Data Scientists and Non-Statisticians alike. The book is available from Amazon, Barnes & Noble and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. Very active in the data community, Jared is a frequent speaker at conferences, universities and meetups around the world.
Carrie Lu Ph.D.
Senior Data Scientist
Carrie (Caimei) Lu is a Senior Data Scientist at Safety National Safety National Casualty Corporation. She has worked in data science domain for over 10 years. She is an expert of using data analytics and machine learning technologies to generate business insights from large amounts of industry data, and solve challenging business problems where data holds the key. At Safety National, Carrie Lu works with insurance business stakeholders to improve and optimize claim and underwriting operations by applying predictive models developed on internal and external insurance data. Carrie Lu holds Ph.D. in Information Science from Drexel University. She has over 15 published papers in the fields of Data Mining and Machine Learning.
Carrie Lu Ph.D. is speaking in the following session:
Senior Scientist Engineer
James McCaffrey works for Microsoft Research in Redmond, Wash. James explores applied deep machine learning and artificial intelligence. He has worked on several Microsoft products including Internet Explorer and Bing. James has a PhD in cognitive psychology and computational statistics from the University of Southern California, a BA in psychology, a BA in applied mathematics, and an MS in computer science.
James learned to speak to the public while working at Disneyland as a college student, and he can still recite the entire Jungle Cruise ride narration from memory.
Julia is a Fraud Detection and Risk Management expert, innovator, startup advisor, mentor and a speaker. Currently she is a Product lead at Walmart Global tech focusing on mitigating fraud for Mobile payments and Marketplace. Prior to this, Julia worked with Fiserv, Signifyd, ThreatMetrix, LexisNexis Risk Solutions and helped Fortune 50 Tech and E-Commerce companies such as Microsoft, Intuit, Ebay, Chegg and others to save millions of dollars in fraud losses.
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 HaUniversita Ha-Ptuha of Israel, and Strategic Decision and Risk Management Diploma from Stanford University.
Julia Minkowski is speaking in the following session:
Principal & Consulting Actuary
Roosevelt Mosley is a principal and consulting actuary with Pinnacle Actuarial Resources and has been in the property/casualty industry since 1994. His skill set includes predictive analytics applications for all insurance functions, ratemaking and product development, competitive analysis and litigation support.
He has served as a member of the Casualty Actuarial Society’s (CAS) and Society of Actuaries’ Joint Committee on Inclusion, Equity and Diversity, the board of trustees of the Actuarial Foundation and the CAS Public Relations Advisory Committee. He has also served as a member of the American Academy of Actuaries (AAA) Racial Equity Task Force.
He is the current president-elect of the CAS, has served as vice president of marketing and communications and on the board of directors of CAS, a member of the board of directors of the International Association of Black Actuaries Foundation, and a member of CAS and AAA governance task forces.
Roosevelt Mosley is speaking in the following session:
Mei Najim CSPA
Applied Analytics Manager, Compliance
Mrs. Mei Najim is the Co-Chair of PAW for Financial Conference.
Mei Najim currently works as an Applied Analytics Manager at HSBC and teaches part-time as a Data Analytics Lecturer at University of Chicago. Mei has over 18 years of hands-on analytics experience in banking (collections, agent performance, and financial crime), insurance (claim management, underwriting, pricing, reserving, and catastrophe risk management), and consulting.
Since 2007, Mei has mainly been working, leading, and implementing various large scale data analytics and predictive analytics projects to develop analytics capability for financial organizations. She has extensive statistics, machine learning, and data mining experience dealing with large and complex data sets. She is an analytics thought leader with a positive influence and a clear vision for how analytics can transform business strategy through techniques, communication, and leadership to devise innovative data-driven solutions.
Mei has been a frequent speaker at various industry conferences to share her expertise in predictive analytics, machine learning, and data science. She holds a BS in actuarial science from Hunan University and two MS degrees in applied mathematics and in statistics, from Washington State University. She is a member of the American Statistical Association and a Certified Specialist in Predictive Analytics (CSPA) of the Casualty Actuarial Society.
Mei Najim CSPA is speaking in the following session:
Senior Data Scientist
Sharada Narayanan is a Senior Data Scientist at dotData. Currently working in the ML and Feature Engineering automation technologies, Sharada has worked on multiple projects with large volume and variety of data which generate value for organizations in the Healthcare, Supply chain and Customer Analytics space. She has a passion for educating organizations new to data science to facilitate strategic and quick success in driving data driven decisions.
Sharada Narayanan is speaking in the following session:
Tope Ogunmola, ASA
Senior ERM Analyst
Tope is an Actuary at Safety National Casualty Corporation, where he works in Enterprise Risk Management (ERM). In addition to his ERM work, Tope has also worked on Safety Nationals IFRS Implementation team, providing actuarial support, developing illustrative models for internal documentation and reference purposes, and contributing to the teams data quality effort. In prior roles at MetLife and Assurant Employee Benefits, Tope worked in Asset-Liability Management (ALM), Deferred Acquisition Costs (DAC), and Financial Reporting. Tope is an Associate of the Society of Actuaries (ASA) and holds a M.S. degree in Applied Mathematics from the University of Missouri Columbia.
Tope Ogunmola, ASA is speaking in the following session:
Ted is a technical generalist with over 4 years experience as a practitioner of Machine Learning and Data Science on large, globally distributed datasets. He rounds this experience out with a background in Mechanical Engineering and 2 years of experience designing and selling robotic automation solutions across North America.
He currently works at Google as a Research Scientist in Cloud Trust and Safety, where he leads the application of DS and ML to help the platform understand its trust landscape and make smarter business decisions. He is an inventor on a pending patent for a key component of this work (US 20220129318 A1).
No matter if he is working on the factory floor, the lab or the office, Ted seeks out opportunities to grow a business by applying technology in novel ways.
Ted Pindred is speaking in the following session:
Arjun Prakash is speaking in the following session:
Head of Marketplace Risk Data Science Team
Vidhya Raman is speaking in the following session:
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series and executive editor of The Machine Learning Times, makes the how and why of predictive analytics understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students, and a renowned speaker, educator, and leader in the field.
Eric has appeared on Bloomberg TV and Radio, Business News Network (Canada), Fox News, Israel National Radio, NPR Marketplace, Radio National (Australia), and TheStreet. He and his book have been featured in Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, The Financial Times, Forbes, Forrester, Fortune, Harvard Business Review, The Huffington Post, The New York Review of Books, Newsweek, Quartz, Salon, Scientific American, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and WSJ MarketWatch. Follow him at @predictanalytic.
Eric Siegel is speaking in the following session:
Chief Social Scientist
Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.
Data Science Manager, Finance & Administration Strategic Analytics
Corwin Smith is an accomplished data & analytics strategist and practitioner. In his role, Corwin focuses on designing and implementing predictive and statistical models to forecast future business performance by leveraging advanced machine learning platforms. Additionally he analyzes internal & external data to understand performance drivers to identify improvement opportunities to streamline and automate the analytical processes and data pipelines that feed predictive models and dashboards necessary for decision-making. Corwin spent 20 years in the financial and insurance product industry spanning sales, digital, marketing and data & analytics (D&A). He spent the last 5 of those years focused on D&A, where he enabled delivery of over $60 million in quantifiable value for organizational partners by owning the development and deployment of the artificial intelligence and machine learning data product solution strategies.
Corwin Smith is speaking in the following session:
James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.
James Taylor is moderator of the following session:
Yentai (Vincent) Wan
Director, Network Planning & Optimization
Yentai Wan is the Director of Network Planning & Optimization in UPS Corporate Industrial Engineering group. His primary responsibilities are to (a) improve network planning processes, (b) generate network efficiencies and (c) support strategic initiatives across the enterprise. He joined UPS in 2007 as an Enterprise Network Planning Manager in Corporate Transportation.
Yentai was born and raised in Taipei City, Taiwan. He came to US in 2000 for advanced education and received his PhD of Industrial Engineering and Operations Research from Georgia Institute of Technology. He is passionate about applying Operations Research and Machine Learning with real world applications. Yentai is a Industry Advisory Board member of The Georgia Tech Supply Chain and Logistics Institute.
Director of Strategic Analytics
Evan Wimpey was a Financial Management Officer in the Marine Corps and an Operations Associate at Goldman Sachs prior to joining Elder Research as a Data Scientist. He holds master's degrees in Economics from East Carolina University and in Analytics from North Carolina State University. He is currently the Director of Strategic Analytics at Elder Research. Evan has a passion for cryptocurrency and exploring more equitable access to credit markets. Evan lives in Cary, NC with his wife and two sons.
Evan Wimpey is speaking in the following session: