About
Who?
I am a data scientist at Wegmans Food Markets working in the consumer insights group. My main interests lie in analyzing consumer behavior using Bayesian statistics and classical machine learning techniques. I earned a Master's in Data Science from the University of Rochester in 2020 and a BS in applied physics and mathematics from SUNY Geneseo in 2019.
Where?
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Current - Wegmans Food Markets Corporate | Data Scientist
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08/2019 - 12/2020 - Wegmans Food Markets Corporate | Data Science Co-Op
- Researched and developed algorithms to predict customer future spending
- Presented new consumer platform insights to company executives
- Analyzed consumer shopping data and wrote reports for managers and VPs
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Summer 2018 - Worcester Polytechnic Institute | Data Science Undergraduate Research Assistant
- Researched novel deep learning architectures for predicting dynamic graphs
- Presented published paper at MIT Undergraduate Research Technology Conference 2018
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Summer 2017 - SUNY Geneseo | Undergraduate Research Assistant
- Aggregated large scale data files from multiple solar events
- Programmed microcontrollers to continuously collect data