Biography
Hi. I am a lead data scientist at The Home Depot (Atlanta, GA). My interests include statistics, machine learning, econometrics, and data analysis.
I have received a Ph.D. in Economics and a M.S. in Statistics from the University of Massachusetts Amherst.
Interests
- Machine/Statistical Learning
- Causal Inference & Econometrics
- Forecasting
- Labor Economics
Education
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PhD in Economics, 2019
University of Massachusetts, Amherst
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MS in Statistics, 2016
University of Massachusetts, Amherst
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BA in Economics, 2012
Bogazici University
Experience
Lead Data Scientist
Responsibilities include:
- Transforming high volume data into actionable business information
- Developing demand models to determine optimum price levels that maximize Home Depot’s market share without decreasing the gross margin
Data Scientist
Responsibilities include:
- Implementing frontier forecasting methods on big data sets to improve forecast accuracy
- Coaching and onboarding junior data scientists and data science/consultants
- Tidying “untidy” data, creating visualizations, and presenting results to technical and non-technical audience (e.g. other team members, customers, consultants)
Researcher / Graduate Research Assistant
Researched on cutting edge predictive and causal machine learning, statistical, and economic models to explain and forecast supply and demand movements in markets.