Divyansh Sharma

Background

About Divyansh Sharma

I build high-performing city and cluster operations for EV & mobility—turning blank maps into profitable networks that grow daily users, boost utilization, and cut losses. At YULU, I launched new clusters and grew DAU from 0 to 800+ in weeks, rolled out threshold-based battery swaps to lift utilization, and introduced a demand prediction model that drove a +30% utilization improvement while reducing asset loss by ~85-90%. Before that at JLNPhenix, I implemented a CRM + live vendor stock system, shrinking supply TAT by 5 days and giving leadership real-time visibility. Earlier, as a founder, I ran a hyperlocal fresh-produce venture, building a 50+ team, designing shift-based delivery, and embedding zero-waste practices. I specialize in demand forecasting, network expansion, process automation, and team enablement. Tools: Excel (advanced), Google Sheets, SQL, CRM platforms. I’m passionate about sustainable growth in EV, green energy, and last-mile logistics. Let’s connect if you’re scaling EV/mobility or want a data-backed tune-up for your ops.