● Evaluated the effect of COVID on Opioid consumption on 10M users by implementing SQL window functions in Snowflake.

● Developed web scraping scripts to collect data to study the spread of loans in the US and examined it using Tableau reports.

● Designed a recommendation system using text-embeddings for complementary recipes and discovering new food pairings.

● Improved F1-score from 0.53 to 0.77 by developing a classifier using sklearn and Keras to predict the meal type of a recipe.

● Increased model accuracy to 89% for prediction of 10 tags of 5000 recipes for users' customized diet recommendations.

● Collaborated with nutritionists and built a REST API to fetch various attributes of recipes using Java and PostgreSQL.

● Analyzed data to identify several indices from Census and other demographic databases, that factor into disaster resilience.

● Developed stored procedures to extract data and better visualize it on a Tableau dashboard for those indices.