Utilized SQL in Azure Synapse and Python to identify and correct data inconsistencies in ingestion pipelines, ensuring accurate data for business analysts. Enhanced a data validation tool for multiple databases (Synapse, DB2, Oracle, SQL Server), automating the validation process and eliminating manual effort, thereby preventing human error. Improved the tool's GUI and added features such as new file type support, row/column selection, filtering, and sample output.

Summer 2023: NLP work using Pinecone and GPT 4 to match lesson plans with early learning guidelines and state standards.Summer 2022: Full-time intern of start-up using screening and artificial intelligence to predict potential behavioral challenges in children, used John Snow Lab’s Annotation Lab to train models for Clay’s mobile app, contributed to additional projects

https://swarthmorephoenix.com/

Computational internship with the Proteomics Group (supervised by Karsten Krug PhD and D.R. Mani PhD), assessed computational approaches to correct post-translational modification abundances for protein expression using R