Lee Rehwinkel
VP of Data Science @ Planview
About
20+ year veteran in AI applied research.
United States
Austin
Computer Software
Machine Learning, Python, Transact-SQL (T-SQL), Data Analysis, Analytics, Business Intelligence, Big Data, Data Visualization, Optimization, Operations Research, Business Analytics, Statistical Modeling, Financial Modeling, Data Mining, R, SaaS, Predictive Modeling, Predictive Analytics, Apache Spark, Python (Programming Language)
Experience

Principal Data Scientist
Austin, Texas, United States
Principal Researcher and Architect of Planview's Agentic AI capabilities. Principal Researcher and Architect of the Planview Connected Work Graph - an innovative application of graph data technology for dependency management.

VP of Science and Analytics
Austin, Texas, United States
Led a Global Data Science and Data Platform team. Managed the Price Optimization, Machine Learning, Data Pipeline, and REST API Infrastructure. Directed a Global Professional Services team of Data Scientists, Engineers, and Solution Architects. Engaged with potential clients in pre-sales. Developed Hierarchical Bayesian approach for B2B price elasticity measurement. Developed AutoML and Cross-Validation technologies for B2B Segmentation Analysis.

Vice President of Risk Management
Developed a Monte Carlo algorithm for estimating the Bank’s risk capital requirements in support of the Bank’s Basel 2 Initiative. Led research into novel Risk Management computational methods such as MCMC and Simulated Annealing. Defended the Bank’s mathematical risk models before Federal Bank Inspectors during the 2008 Financial Crisis. (Fed, OCC, FDIC).
Lee Rehwinkel's Contact Information
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