Akshay Saraf

I’m a Data Scientist with nearly 3 years of experience delivering analytics & scalable AI/ML solutions to enterprise brands. I design production-grade Generative AI systems and translate complex data into actionable recommendations that move core business KPIs.

At Capillary Technologies, I built and trained a Laptop Propensity model for HP, lifting response rate from 24% to 77% and generating 6.8 Million INR in incremental revenue. I’ve also developed recommendation systems, propensity models, and customer segmentation (RFM & K-Means) to boost engagement and conversion for brands like HP, Linen Club, Blackberrys, Metro, and Mochi.

I’m especially drawn to practical GenAI applications—most notably an OpenAI (LLM) based text-to-SQL system using RAG that converts prompts into SQL for quick, on-demand data. This solution helps enterprise teams query faster and supports meaningful recurring revenue.

Across roles, I’ve managed and mentored junior team members and contributed to outcomes recognized through AWS x AI Hackathon wins and production readiness awards for text-to-SQL RAG systems. I value scalable engineering, client-facing clarity, and measurable impact.