At FAST Foundation, I cleaned and validated 8,000+ CRM records, reducing duplicate and inconsistent entries. I used SQL and Excel to find missing data and added validation checks to improve reporting accuracy.
For my Retail Demand Forecasting capstone, I compared seven models on Walmart sales data, with SARIMA achieving a 2.19% MAPE on aggregated weekly sales. I also designed a PostgreSQL museum database and hold the Astronomer Certification for Apache Airflow 3 Fundamentals.

