Data Quality - Directly responsible individual for maintaining and developing Stripe’s financial data quality infrastructure, including data engineering financial data downstream from ledger, full-stack internal tooling, offering new tooling and observability for teams to debug ledger issues, and leading team in knowledge shares and reducing KTLO- Spearheaded the development of a new data pipeline, automated checker framework, and tooling interface, directly contributing to the performance and scalability of financial data management systems and mitigating Stripe’s financial risk of FX transactions- Managed an intern, demonstrating leadership and a commitment to maintaining high code quality through thorough reviews and design guidance- Collaborated closely with cross-functional teams, including accountants and TechOps, to streamline debugging processes, emphasizing a user-centric approach

Developing deep learning techniques to predict gene expression from DNA sequenceUtilizing deep learning predictions and traditional expresstion quantitative trait analysis techniques to identify new expression quantitative traits linked to certain disease genes in noncoding regions of DNA

Lead discussion sections of 15-20 students, mini-lecturing and problem solving introductory topics in data scienceHeld weekly office hours and wrote exam questions

Financial Data

AWS Redshift

AWS Redshift