Kapil Dulani

About Kapil Dulani

I build AI systems that protect toplines, unlock revenue, and change how businesses make decisions.Over 13 years, I\'ve led AI transformation programs across CPG, Telecom, Financial Services, Retail, and Hospitality — working with clients across the US, UK, Europe, Middle East, Africa, and Asia. The through-line: translating complex business problems into scalable, production-grade analytical solutions that deliver measurable outcomes.A few examples of what that looks like:→ Multi-module AI pricing engines that safeguard tens of millions in annual topline→ Predictive and optimization frameworks driving significant revenue uplift and double-digit reductions in operational downtime→ Customer value management systems generating multi-million dollar quarterly incremental revenue across multiple operating countries→ Digital commerce and media optimization strategies with measurable sales impact across retail platformsWhat sets me apart is that I don\'t just lead — I architect. I\'m equally comfortable presenting to a CXO as I am designing model architectures on a whiteboard. I own P&L, grow accounts, build teams of 20+, and still get into the weeds of feasibility modeling, constrained optimization, and drift monitoring.My technical world spans classical ML, deep learning, GenAI (LLMs, RAG, Agentic AI), NLP, and production ML systems — built on Python, Databricks, Azure, AWS, and Snowflake.Always interested in hard problems at the intersection of AI, business strategy, and real-world impact.

Experience

1. Engagement Manager

   Fractal

   Mar 2022 — Present

   AUTOMOTIVE RETAIL• Multi-module AI pricing engine: feasibility modeling, time-to-sell prediction, and constrained optimization• Dynamic pricing aligned to store-level goals for units, revenue, margin, and inventory aging• Safeguarding tens of millions in annual toplineCPG• Digital commerce acceleration via Agentic AI, GenAI using LLMs• Elevated organic rank via content strategy, boosting digital shelf visibility• Retail media optimization through insightsTELECOM• Customer value management, lifecycle strategies, and predictive segmentation across multiple operating countries• Dynamic pricing simulators using competitor benchmarking and elasticity models• AI-led network planning and real-time monitoring across broadband• Track record of driving multi-million dollar outcomesFINANCIAL SERVICES• Co-branded card acquisition frameworks and field sales optimization• Interactive visualizations for strategic planning and workforce optimization• Delivered significant cost savings and operational efficiencies

Education

• St. Paul's School

  12th, Science - PCM

  1995 — 2009

• Maharshi Dayanand University

  Bachelor of Technology (B.Tech.), Computer Science

  2009 — 2013

Skills

• Sql
• Random Forest
• Ownership
• Data Analysis
• Decision Trees
• Sas
• Unica
• Cart
• Teamwork
• Logistic Regression
• Analytical Modelling
• Analytics
• Vba
• Python
• Statistical Sampling
• Leadership
• Clustering
• Databases