Pranav Grover

I’m a Data Analyst and Business Analyst with 3+ years of experience delivering insights across operations, marketing, finance, and revenue reporting. I build the data infrastructure teams rely on so they can make real, measurable decisions.

I’ve designed Snowflake data pipelines, developed machine learning models with 96% prediction accuracy, and delivered Power BI and Tableau dashboards that reduce reporting effort while improving data quality. I focus on turning complex data into clear stories that sharpen how teams plan, price, and perform.

In my co-op at Veracyte, I helped consolidate 2M+ medical claims into a unified Snowflake datamart, implemented automated SQL validation rules with threshold alerts, and deployed reusable dashboards tracking denial rates, payer mix, and AR aging. I also automated weekly revenue-cycle report summaries by integrating Python with generative AI to produce narrative leadership briefs.

Earlier, I standardized 90,000+ customer and sales records using Python/SQL pipelines, fixed critical pipeline failures through better validation at the source, and improved data quality by 30%. I also developed projects like a Random Forest/Gradient Boosting pricing and customer segmentation model (96% accuracy) and a Hadoop-based governance pipeline that reduced route time by 12%.