Harsh Sharma

At Innovexis, I cleaned and preprocessed operational datasets of 50,000+ rows using Python and SQL. My quality checks resolved data discrepancies and improved reporting efficiency by 20%.

I used SQL, Python, and Excel for exploratory analysis and trend reporting, helping eliminate manual data entry errors. I also developed a Streamlit analytics app with custom KPIs, dynamic filtering, and interactive reporting.

I built four Power BI and Tableau dashboards to track KPIs and communicate insights for executive decision-making.

In my PhonePe Pulse Analytics Dashboard project, I analyzed 72 billion+ UPI transaction records and visualized state-wise and transaction-type metrics. I also analyzed ride records in my OLA project to identify booking patterns and cancellation drivers.