Senior Data Scientist and Statistical Analyst
Last active: 18 days ago
Management consultant specializing in quantitative and statistical analysis using Big Data. Deep experience consulting in pharmaceuticals and quantitative finance. Expert SAS programmer with 17 years of SAS experience.
Pharmaceutical experience centers around commercialization strategy, market sizing and epidemiology, forecast planning, patient adherence, patient outcomes, prescription price sensitivity, co-pay offset programs, market dashboarding, and market landscape. Strong interest and deep understanding of secondary data sources (IMS Health, Premier Hospital Data, SDI, CMS, etc.). Expertise in leveraging data (sales, prescription volume, patient claims data, EMR) to provide solutions to clients' key business questions.
Quantitative finance experience creating, improving, and applying stock selection models, specifically momentum models (price, earnings). Other experience includes portfolio construction, backtesting and simulation, multivariate attribution analysis and production. Knowledge of multiple data sources including Factset (Compustat, Worldscope, Thomson I/B/E/S, Factset Estimates, and Reuters data).
Specialties: Projects that require managing and analyzing large dynamic datasets.
Statistics (Regression, Logistic Regression, Cluster Analysis, Decision Trees)
Predictive Modeling and Forecasting
Quantitative Market Research
Business and Data Analytics
Social Network Science
Key Pharmaceutical Expertise:
Sales Force Alignment
Co-pay Offset Programs
Patient Therapy Adherence
Patient and Physician Profiling
Product Launch Strategy
Claims Data Analysis
Key Financial Services Expertise:
Quantitative Stock Selection Modeling
Backtesting and Simulation
Multivariate Portfolio Attribution
Strong talent in using SAS to process and analyze vast amounts of data to produce results that impact investment and business decisions. Demonstrated history of producing and presenting accurate, insightful, and actionable results to both internal and external clients. Deep interest and skill in quantitative analysis using SAS, R, SQL, Matlab, and various statistics related tools.
SAS expertise includes base SAS, SAS/STAT, SAS/GRAPH, SAS/IML, and authoring SAS macros.