saivardhan yejjipurapu

I'm currently building a Mutual Fund Analytics Platform at Bluestock, using Python, SQL, SQLite, and Power BI to transform 10 financial datasets into risk analytics and interactive dashboards.

I designed an ETL pipeline and relational database for fund master data, NAV history, AUM, SIP inflows, and investor transactions. I also computed CAGR, Sharpe/Sortino Ratio, Alpha/Beta, VaR, and maximum drawdown to evaluate fund performance and identify anomalies.

Previously at Rooman Technologies, I used Python, Scikit-Learn, K-Means, DBSCAN, and PCA to detect fraud, identify behavioral anomalies, and segment travel-platform users. I also built a Flask-based real-time analytics dashboard and visualized trends with Matplotlib and Seaborn.

I've delivered analytics dashboards across marketing, supply chain, healthcare, e-commerce, and finance, covering data cleaning, SQL analysis, DAX measures, and business reporting. I'm continuing to grow as a data analyst through hands-on work with ambiguous data problems and actionable insights.