Nimish Jain

I’m a data analyst intern combining SQL and Power BI to turn messy data into clear, decision-ready insights. I focus on KPI tracking, retention trends, and building dashboards that are interactive, reliable, and fast.

In my internship at Elevate Labs, I built Power BI dashboards for customer churn analysis using DAX and data modeling. I also worked hands-on with data cleaning, transformation, and exploratory data analysis to uncover business insights.

Through projects like my Weather Forecasting Dashboard, I integrated REST APIs to automate daily updates with Power Query and API connectors, using dynamic filtering and interactive visuals to speed up analysis by 40%. I also designed and queried a normalized PostgreSQL database in the Spotify dataset project, writing 15+ advanced SQL queries (CTEs, subqueries, window functions) and improving performance dramatically through indexing and query tuning.

I’m especially motivated by analytics that combine strong engineering discipline with measurable outcomes—accurate metrics, scalable models (like star schema design), and optimized DAX measures. I continuously sharpen my SQL practice through challenges and certifications, and I enjoy building solutions that help teams move from data to action.