Designed a PostgreSQL database with 100,000+ records, optimizing query performance. Wrote 500+ SQL queries to extract, transform, and reconcile production data across multiple sources. Cleaned and processed 5,000+ records using Python (Pandas, NumPy), reducing data errors by 25% and accelerating analysis workflows by 30%. Created 50+ visual dashboards with Matplotlib and Seaborn to monitor trends, supporting informed decision-making.
