At ZS Associates, I build SQL, Python, and Snowflake pipelines that turn healthcare reporting requirements into analytics-ready datasets. I also coordinate technical delivery across an 8–9-member engineering team.
I developed automated validation frameworks that reduced manual data QC effort by 90% and accelerated stakeholder reporting turnaround by 30%. I support reconciliation, SIT/UAT, and defect resolution to trace reporting discrepancies to transformation logic and source data.
I’ve also optimized Bayesian marketing mix modeling workflows, reducing runtime from 3 days to 30 minutes for a workload of 5M+ records. My work includes RAG data foundations, governed KPI and business-term metadata, and a campaign metadata tagging repository supporting reporting across 50+ markets.
