Vishal Raghuwanshi

Analyze user funnel and lifecycle metrics to increase cashout conversion rate and optimize performance across paid and owned marketing channels. Build scalable Databricks (PySpark/SQL) and Tableau dashboards, leveraging AI-assisted tools to accelerate exploratory analysis.

Developed a targeting optimization tool using historical campaign data to improve planning accuracy and reduce campaign costs through optimal user selection. Designed and executed end-to-end experiments to identify drivers of CLV, profit, and revenue, and built 10+ interactive Looker dashboards with LookerML models.

Improved driver order acceptance rate by 5% by analyzing driver behavior patterns and optimizing order propagation with prioritization algorithms. Built geolocation-based movement matching and designed dynamic pricing surge experiments, including analysis for “My Route Booking” to increase driver satisfaction.

Improved customer retention and ride frequency by designing targeted discount strategies and ride passes using RFM segmentation and behavioral cohorts. Built SQL-based dashboards and partnered with product and growth teams to analyze feature launches and marketing initiatives that informed roadmap decisions.

Delivered customer insights for India’s largest bus aggregator, supporting marketing strategy and campaign management with forecasting and BI analysis. Built an 85%-accuracy Random Forest churn prediction model, ran CRM targeting using regression-based methods and RFM, and performed sentiment analysis to identify drivers of dissatisfaction and improve NPS.

Earned a Bachelor of Technology in Metallurgical and Materials Engineering at NIT Tiruchirappalli from 2014 to 2018.