At Nexus Exhibitions, I collected and cleansed data from multiple event sources using Python, standardizing 10,000+ records and reducing data errors by 40%. I also analyzed attendance trends with SQL and Pandas and wrote reports that cut manual reporting time by 6 hours a week.
With the Student Alumni Relations Council, MRIIRS, I owned and maintained a 10,000+ record alumni database and built recurring trackers and structured reports for leadership. I also helped plan and execute Safarnama and Utkrist, identifying process bottlenecks and streamlining team workflows.
In my projects, I built a Power BI dashboard for Blinkit sales and diagnosed margin-erosion drivers in a Bosch profit case study. I also architected a cloud-native YouTube trending data pipeline that processed 500K+ records across 10 regions, with automated quality gates enforcing 99%+ data accuracy.
