narendra vutla
@narendravutla
I build analytics and machine-learning systems that grow marketplace revenue.
What I'm looking for
At PhonePe, I designed a GTM strategy that generated more than 2x GMV growth with lower CAC and higher LTV. I also built Bayesian Marketing Mix Models for multi-channel attribution and an XGBoost propensity model that delivered 1% month-over-month revenue uplift for RuPay Credit Card.
At Meesho, I improved cart-to-order conversion by 8% through A/B experimentation, increased 12-month retention by 10% using churn-risk segmentation, and lifted GMV by 5% through fraud anomaly detection. I built 95%-accurate P&L forecasting models, production ETL pipelines in PySpark and Databricks, and experimentation automation that reduced turnaround time from two days to one hour.
Earlier, I helped Gamooga clients execute campaigns in 30 minutes instead of a day and drove revenue through campaign strategy and BI reporting. At OYO Rooms, I expanded supply partnerships and demand channels to deliver sustained revenue growth.
Experience
Work history, roles, and key accomplishments
Designed a GTM strategy to acquire premium supply and affluent users, generating over 2x growth in GMV with lower CAC and higher LTV. Built Bayesian Marketing Mix Models for precise multi-channel attribution and engineered an XGBoost propensity model for the RuPay Credit Card category.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Guwahati
Bachelor of Technology, Mechanical Engineering
2010 - 2014
Bachelor's in Mechanical Engineering from IIT Guwahati, completed in 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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