Nitish Ranjan

I’m a product professional focused on turning analytics into shipped outcomes for AI/ML SaaS, with 3 years of experience owning the full loop: defining metrics, prioritizing the roadmap with engineering and customer teams, running experiments, and shipping AI-powered features that get adopted org-wide. I bring genuine technical depth to production RAG and agentic AI systems, paired with strong product judgment.

At Aidash, I owned product analytics and roadmap prioritization for AI-powered geospatial modules serving 20 US/Canada utilities. I defined success metrics, translated user research into feature specs, partnered with engineering to deliver enhancements, and converted 4 of 5 pilots into full-scale production.

I also drove end-to-end analytics automation across the company—gathering and prioritizing requests, scoping specs, and shipping 10+ features powering analysis across 50 client projects—while reducing recurring manual effort. From hazard tree forecasting, I shaped a predictive vegetation-risk targeting model that cut vegetation-removal cost by 20% and improved operational efficiency by 35%, to causal inference experimentation that directly informed high-ROI client prioritization under budget constraints (R2 0.65 on unseen data). I’ve additionally redesigned geospatial pipelines to improve network-correlation accuracy by 15% while reducing processing time by 80%, standardized automated delivery workflows (turnaround -45%), and launched an LLM self-service analytics platform (RAG, LangGraph) that freed non-technical users from SQL/BI tools.