Jun 2022 - Sep 2022

• Developed several ML & DL time series models such as SARIMA using Dick’s Sporting Goods national daily sales data 

• NeuralProphet and Prophet models had as much as a 100% win rate in some departments versus the baseline model 

•  Built variations of the models on different granularities of the data: clusters, store departments, and the national level

May 2021 - Aug 2021

• Enhanced efficiency by ~50% through automating merging and transformations of user-defined datasets for a Fortune 500 insurance company 

• Created 4 features for users to specify the transformations on 2 versions, one utilizing Pandas for small data and one utilizing PySpark for big data

Nov 2020 - Mar 2021

• Developed a Flutter app for Android/iOS to display vehicle data and tools to drivers, deployed to the Play Store 

• Led a Scrum team of 6 interns via Azure DevOps and meetings to develop a prototype that predicts vehicle failures