At CSIR-NPL, I automated synchronized data acquisition for long-duration dielectric experiments using Python, collecting capacitance, dielectric loss, temperature, and humidity measurements every 30 seconds.
I built a Python acquisition pipeline with minimal manual intervention and used Monte Carlo simulation and correlation analysis to show strong relationships between dielectric capacitance and environmental parameters. I also created end-to-end banking analytics in PostgreSQL, Python, and Power BI, turning customer and financial data into segmentation, KPI, and trend insights.
Through Zepto product analysis, I designed and cleaned a PostgreSQL database, wrote analytical SQL queries, and evaluated pricing, inventory, discounts, and revenue opportunities. I also led academic and design initiatives at Fresources, creating promotional material and coordinating student activities.
