Pranav Kumar Jain Rajesh Kumar

I am a data analyst with hands-on experience across the full data lifecycle, from data ingestion and cleaning to predictive modeling and visualization. I leverage Python, SQL, and Tableau to turn complex datasets into actionable business insights.

At tvScientific, I automated ingestion and storage of 1.3+ TB of business data and built feature-extraction pipelines that lifted KPIs and user engagement. I also implemented testing with Pytest to reduce data-related bugs and improve analytics reliability.

Previously, I applied clustering and gradient boosting models at Asian Beverages to identify customer segments, increase promotional response rates, and improve seasonal demand forecasts—delivering measurable revenue and inventory reductions.

My projects include cloud ETL pipelines with Airflow and PySpark, accident-severity prediction using SVM and Random Forest, and interactive Tableau dashboards for public-health and business reporting. I focus on practical, measurable impact and collaboration with stakeholders.