Predict – Risk Mitigate – Optimize – Synergize

Seasoned Data Science Professional

Billions Generated Worldwide

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A.b.d. PhD Cornell University Dept. of Mathematics

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[Numbers are estimates of annual value generation for clients]

Lightning Analytics, Chief Data Scientist 2010 – 2016

Major Pharmaceutical – World Wide Product Roll-out Strategy Optimization $1.1B / yr

Start-Up – Internet Targeted Marketing Technology $140M / yr

Major Retail – Pricing Strategy $210M / yr

Major Bank – Customer Relation Optimization $490M / yr

Technology Company Purchase Due Diligence $50M Invest

Social Network Company – Multichannel Marketing Intelligence $275M / yr

Major Technology Co. – Manufacturing Process Error Pattern Detection $320M / yr

Major Cell Phone Network – Churn Prevention Strategy $120M / yr

National Institute of Health – Cancer Diagnostics Priceless

SPSS / IBM, Senior External Consultant and Internal Product Consultant 2007 – 2009

Insurance Process Optimization $340M / yr

Major Automotive Detailed Demand Forecasting $400M / yr

Life Science – Gene Chip Information Optimization

Predictive Technology Advancement

Visualization Technology Advancement

Mattersight Corp. Director, Senior Consultant 2006 – 2007

Major Healthcare Insurance Providers, Banks, Telecom

Call Center Optimization: Voice to text, emotion capture analytics, analysis and strategic training

support, routing optimizing

United Airlines, Director of Analytics 2004 – 2006

Managed team of 100 PhD’s. Sought optimization every aspect of worldwide business – human and capital minute-to-minute resource and asset allocation, demand forecasting, routing optimization, pricing, new route valuation, seat allocation, up-sell, fuel use, oil futures trading, stress tolerance, break down predictions, resource and inventory planning, security, no fly list automation, marketing strategy, flight path, acquisitions, cross department information integration

Machine Intelligence Founder, Partner, Development, Consulting 2000 – 2004

Dynamic Risk Management Technology

Derivatives Trading and Portfolio Analysis and Support Technologies

Fraud Detection Technologies

Stuart School of Business, Illinois Institute of Technology 1995 – 2000

Professor of Finance and Management Consulting

Finance, marketing, business management, derivatives, modeling, econometrics, risk management

Condor Technology Solutions, Senior Consultant 1990 – 1995

OLAP and Business Intelligence (BI) and forecast solutions

JPMorgan Chase & Co., VP Investment Strategy, Equities Portfolio Manager 1982 – 1990

$1B Equity fund manager using quantitative strategic methods

Key Issues:

Quantitative: Modeling, Algorithms, Predictive Analytics, Learning Algorithms, Industrial Scale Implementation, Econometric Models, Demographic Models; Large Data: Hadoop, ETL, Metrics; Data Mining Tools: SPSS / IBM Clementine, SAS Enterprise Miner, Text Mining, Search, Knowledge Mining, SPAD, CMSR, Orange, Statistical: SPSS, SAS, Scientific / Quantitative: Mat Lab, C++, Excel, R, S-PLUS, Analytica, InfoSense, Spotfire, Data Base: SQL, Microsoft SQL Services, Access; Visualization: Visual Insights, Advisor, Metaphor Mixer, PowerPoint, Visual Miner, Advizor Analyst, High Tower, IDL, JMP, Parallax, Visio, Project, Splunk, Google Analytics

Added Skills:

Expert at using and creating techniques in supervised and unsupervised machine learning, statistical analysis and predictive modeling to deliver business insights to business partners; Expert at creating, testing, building, deploying, and maintenance of Mathematical/statistical models; Expert at identifying analytical/statistical techniques from business requirements and use cases; Expert at understanding and hands-on experience in statistical and operations research modeling techniques; Sophisticated at using regression (linear, logistic, ordered, multinomial, negative binomial, Poisson) analysis techniques; Over 10+ years’ experience in Healthcare, Pharma, and Medical analytics; Over 15+ years’ experience using Time Series Analysis, Mixed Linear models, Probability modeling, Econometric modeling, Hierarchical linear modeling, Factor analysis, Cluster analysis, Generalized linear mixed models, Nonparametric methods, Computationally intensive methods, Simulation methods; 15+ years’ experience with theories, principles, and practices of above techniques along with CRISP-DM; Excellent hands-on knowledge of SAS, R, IBM SPSS, Hadoop Mahout, MATLAB; Very proficient in data visualization and strong capability to report data findings to technologists as well as CxO office. Excellent communication skills; Experienced teacher and trainer for statistical teams; Can work closely to take responsibility for statistical model specifications; 15+ years’ experience in insurance, banking, financial services, life sciences, and retail; Strong ability and experience leading teams of statisticians, data scientists, and machine learning specialists; Strong understanding of statistical modeling techniques and tools such as SAS, R, IBM SPSS, Hadoop Mahout, MATLAB; Python; Strong experience working with relational databases and/or distributed computing platforms (distributed clusters, multi core SMP), and their query interfaces, such as SQL; Ability to work with Large Data Sets; Strong technical documentation skills; Excellent understanding of the organization’s goals and objectives; Excellent skills and know how to translate business requirements into analytical requirements; Excellent customer focus; Powerful written and oral communication skills; Strong ability present ideas in a user-friendly business language; Proven analytical and problem-solving abilities; Experience working in a team-oriented, collaborative environment; Experience with C and C++; Experience with Shell Script; Strong experience with many visualization softwares and techniques including, Qlikview and business intelligence (BI); software, such as MicroStrategy and Cognos; Strong inclination to understand and learn application/ business functionalities; Excellent presentation, and interpersonal skills; Excellent attention to detail, disciplined and reliable; Highly self-motivated and directed; 10+ years exposure to Insurance and Banking Industry; Highly skilled at understanding business requirements and converting them into analytics requirements; Substantial experience working on entire lifecycle of Big Data projects; Substantial experience in selecting and preparing data for analysis, as well as substantial experience in Data Discovery; Mathematician that can develop analytical models by applying appropriate statistical techniques from scratch as needed to create new and powerful capabilities; Repeatedly succeeded in creating and determining the best mode and models that yield best results; Understand the intricacies of validating models at a very deep level; Highly skilled at training and translation of results to business language and terms; financial analysis, Microsoft Works, Office, PowerPoint, Excel, Access, Analysis Services, OLAP

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