Himanshu Prajapat

Managed and mentored a team of 10 members, overseeing project prioritization, resulting in 25% increase in team project velocity. Planned Tier-2 city expansion for AC repair category using predictive clustering model, implemented robust MLOps practices, guiding a successful launch in six new cities. Spearheaded the data strategy, design and automation of training roster for 7,000+ AC service professionals across multiple cities.

Improved operational efficiency by 15% by developing weekly dashboards for tracking KPIs like job latency and completion rate. Reduced customer support ticket volume by 12% in Salon category by building a predictive model to flag potential service issues. Led A/B testing analysis which increased conversion rates, reduced churn and informed product management decisions. Wrote complex SQL queries for large scale warehouse data, analysed hiring and performance data for 10,000+ service professionals.