vemulapalli leelasaivenkat

I've improved reporting accuracy and decision-making at Appspace Innovation by cleaning, validating, and analyzing business datasets with Excel, Power BI, SQL, Tableau, and Python. I translate complex findings into dashboards and practical recommendations for stakeholders.

At Trigent Software, I analyzed recruitment and workforce data, built Tableau and Power BI dashboards from Snowflake data, and developed predictive models to identify employee retention risks. I also automated recurring HR reporting using Python, AI-driven techniques, and structured datasets.

My projects include employee attrition analysis across 10,000+ records, achieving 82% predictive accuracy, and customer churn dashboards that surface at-risk segments and retention drivers. I enjoy connecting data quality, KPI reporting, predictive analytics, and stakeholder requirements to support better business decisions.