At Eli Lilly, I build data products for pharmaceutical business development, compliance, and commercial analytics. I developed an automated contract-processing pipeline using S3, Azure Document Intelligence, and LLMs to classify deal stages across 1,500–2,000+ business-development documents.
I orchestrate pipelines with Airflow and Kubernetes, including a PySpark drug-normalization workflow that reduced runtime from 24 to 12 hours and corrected 30–40K incorrectly processed drug records. I also built Sameta, a Python-based employee expense anomaly-detection framework that flagged 825 employees for Ethics & Compliance review.
I create Power BI reporting with DAX and row-level security, including a global HCP meeting and Transfer-of-Value dashboard that identified 750K euros in erroneous payments for cancelled meetings.
