At Bandit Network, I built SQL pipelines across five or more systems, improving data accuracy and cutting preparation time by 60%. I also designed data models and documented definitions to support consistent reporting.
I set up automated business reports across more than 30 initiatives, saving three to four hours per cycle. For finance, I supported cost and return analysis that found the top 20% of 30+ campaigns drove over 80% of returns.
I also used AI tools and AI-powered workflows to improve processes, cutting build time by 40–50%. My projects include an AI data analyst agent that turns plain-English questions into SQL and presents answers as tables and charts.
I’ve built data projects spanning UPI merchant fees, remittance costs, RBI regulations, and hospital readmission risk. I work with SQL and Python, along with tools including Power BI, DuckDB, and GitHub Actions.
