Technical lead for design and implementation of asymmetric budget segmented experimentation, involving:- metric design and definition- experiment design- process documentation and cross-training- building analysis tooling for A/B testing and power analysis in python- prioritization and coordination of budget segmented experiments across 3+ teams on a monthly basis- guiding strategy on budget elasticity and connecting bid price to outcomes- mentorship and onboarding of product scientists, analysts, and software engineers- contributing to new ideas and strategy for design and use of various predictive models- coordination with monetization and pricing teams on strategy and prioritization

- Development of search rank algorithm - A/B testing - Metric design - Developing models for complex experimentation - Supervision of data science interns - Onboarding new team members

- Complete predictive modeling and analytics related to employees, including turnover, acquisitions, wages, engagement, and other industry metrics.- Use natural language processing and clustering to process open text fields in job descriptions

- Generate publishable research - Use statistical modeling and machine learning - Claims data analysis - Statistical testing - Manuscript writing

- Generate publishable research - Use statistical modeling and machine learning - Claims data analysis - Statistical testing - Manuscript writing

Designing operational reports for implementation of Value Based Reimbursement programs. Supporting and validating accruals, charge backs, and provider payments.Designing and implementing models to predict results of VBR programs.

On the Integrated Finance and Delivery Systems team, completed ad hoc analysis in support of the creation and development of new Pay for Value reimbursement programs.

Taught multiple sections of MATH100 and MATH101. MATH100 was taught according to the standard department syllabus.For MATH101, I developed my own syllabus.

- ad hoc reporting- summary description of data- organizing incoming data

• Teaching course material to students individually or in small groups• Covering material from College Algebra, Statistics, Calculus, and advanced courses• Additional projects at the request of supervising professor