Predictive Analytics World for Financial 2022

June 19-23, 2022 l Caesars Palace, Las Vegas


Dean Abbott
Dean Abbott

Co-Founder and Chief Data Scientist

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
Tucker Balch

Managing Director

Tucker Balch is speaking in the following session:

Vladimir Barash
Vladimir Barash

Director

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.


Clinton Brownley
Clinton Brownley

Data Scientist

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.

Tom Chi
Tom Chi

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.

Brandon Cosley
Brandon Cosley

Director of Data Science & AI

Brandon Cosley is speaking in the following session:

John Elder Ph.D.
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:

Siddha Ganju
Siddha Ganju

Senior Data Scientist, Self-Driving Vehicles, Medical Instruments and Deep Learn

Siddha Ganju, who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices.

A graduate from Carnegie Mellon University, her prior 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.

Siddha authored O'Reilly's 600-page book on Practical Deep Learning for Cloud, Mobile, and Edge. With its strong reception, the book is being translated into five languages all in less than a year of publication.

Serving as an AI domain expert, she has also been guiding teams at NASA as well as featured as a jury member in several international tech competitions. She has been an invited speaker and keynote speaker at multiple conferences and was the Youth Women's Representative for India, 2013 at IET. Siddha is also a member of the Open Leadership Cohort, Mozilla Science Lab.

Hussain Jiwani
Hussain Jiwani

Quantitative Analyst

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:

Jared Lander
Jared Lander

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.
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:

James McCaffrey
James McCaffrey

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 Minkowski
Julia Minkowski

Product Lead

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:

Tope Ogunmola
Tope Ogunmola

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.

Venkat Subramanian Selvaraj
Venkat Subramanian Selvaraj

Sr. Manager, Global Data Science

Venkat heads the International Consumer Credit Data Science team for PayPal, supporting PayPal's fast-expanding credit offerings across markets in Europe and APAC through state-of-the-art machine learning models. With ~15 years of industry experience predominantly working in Financial Technology firms (viz. PayPal, D E Shaw & Altisource), Venkat comes with rich knowledge and practical experience in dealing with vast quantities of Financial data and enabling business decisions.

Apart from his full-time role at PayPal, he also serves as a Visiting Professor for Financial Data Science at XLRI (Xavier School of Management), one of India's leading business schools.

https://www.linkedin.com/in/ve...

Venkat Subramanian Selvaraj is speaking in the following session:

    Pramod Singh
    Pramod Singh

    Chief Analytics Officer, Vice-President Data Sciences and Analytics

    Pramod Singh is the chief analytics officer and vice president of data sciences and analytics at Envestnet Yodlee since May 2015. In his role, he is responsible for delivering analytics solutions for the organization and leads an 160-member team that comprises data scientists, analytics engineers and business analysts. Pramod has over 24 years of experience in leading analytics teams spanning design and implementation of analytics solutions, and creating strategies that impact the bottom line. His core competency lies in implementing decision science technologies like structured and unstructured data, machine learning and artificial intelligence. In his past role, he was the director of digital and big data analytics in HP where he joined as a data miner and progressively elevated to being part of the leadership. Pramod has a PhD and masters in mathematics from University of Arkansas and an MBA in marketing and is author of several published papers and patents and is a regular speaker at international conferences.

    Marc Smith
    Marc Smith

    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.

    Corwin Smith
    Corwin Smith

    Data Science Manager, Finance & Administration Strategic Analytics

    Corwin Smith is speaking in the following session:

    Michael Steliaros
    Michael Steliaros

    Managing Director

    Michael Steliaros is the global head of Quantitative Execution Services at Goldman Sachs. He is responsible for the research, development and implementation of quantitative processes for portfolio and electronic trading as well as managing the bank's relations with the quantitative client base. Previously, Michael held a variety of senior roles at BofAML in London and New York, most recently running the global agency portfolio trading and quantitative equity businesses. Earlier in his career, he spent a decade on the buy-side (most notably BGI and Winton) building quant stock-selection models and managing global market neutral equity portfolios. Michael received a bachelor's degree in Economics & Econometrics from the University of Nottingham, and an MSc and PhD in Finance from City University (CASS) Business School in London.


    Michael Steliaros is speaking in the following session:

    James Taylor
    James Taylor

    CEO

    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.

    Priya Venkat
    Priya Venkat

    Lead Data Scientist

    Priya Venkat is speaking in the following session:

    Evan Wimpey
    Evan Wimpey

    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: