Sharvari Pande

I've built end-to-end analytics projects across healthcare operations and customer churn prediction, using SQL, Python, Power BI, and a life-sciences perspective.

During my Data Analytics internship at Dragonfly, I defined and tracked 6–8 data-quality KPIs across real-time datasets and built Angular and TypeScript dashboards for 4–5 cross-functional teams. My monitoring improvements reduced stakeholder-flagged data-trust issues by an estimated 25% and false-positive alerts by an estimated 20%.

At Deenanath Mangeshkar Hospital, I collected, cleaned, and analysed usage data from 100+ biomedical devices to identify utilisation, maintenance, downtime, and lifecycle trends that supported procurement and operational planning.

I've also created a hospital performance dashboard that reduced estimated manual reporting time by 30–40%, and developed churn models with 78% accuracy to identify retention opportunities. I'm completing a B.Tech in Bioengineering at MIT-ADT University and am seeking an entry-level Analyst role in Pune.