Headline

Sr. Principal Data Scientist @ Eli Lilly | Product R&D | Visual Storyteller | Enterprise AI, Data Science & Analytics Leader | Agentic AI | AI Platforms | Decision Intelligence | Ex-Mu Sigma, Moonfrog | NIT-H Alumnus

About

I build enterprise AI platforms that solve complex business problems at scale. With 14+ years of experience across Pharmaceutical R&D, Healthcare, Gaming, Technology, Telecommunications and Consulting, I've helped organizations transform data into strategic business capabilities through AI, Data Science, Analytics, and Decision Intelligence. Currently, I lead enterprise AI, Data Science and Analytics initiatives within Product Research & Development at Eli Lilly & Company, driving digital transformation by building AI-ready data foundations, enterprise analytics platforms and production-grade GenAI solutions that support 1,500+ scientists globally. My work has modernized scientific workflows, accelerated regulatory reporting, optimized manufacturing decision-making and delivered multi-million-dollar business impact. Some of the enterprise initiatives I've led include: • Enterprise Ontology Architecture for AI-ready scientific data • CRAVE – Enterprise Lab Data & Analytics Platform • GenAI platform for FDA regulatory report automation • Agentic AI Production Intelligence Platform for manufacturing optimization • Enterprise Decision Intelligence & Analytics Center of Excellence • AI-powered Molecular Synthesis Intelligence Platform I enjoy building products where AI, engineering and business strategy intersect. My leadership philosophy is simple: understand the business problem first, build scalable technology second, and drive adoption through strong partnerships with scientists, engineers, business leaders and technology teams. My areas of interest include Generative AI, Agentic AI, Large Language Models, AI Platforms, Decision Intelligence, Knowledge Graphs, Manufacturing AI, Cloud Technologies and Product Strategy. I believe the future of AI lies in building intelligent systems that become trusted decision-making partners for organizations—not just standalone models. - 2× Lilly Top 100 Innovator Award recipient - International assignments in Indianapolis, USA - Experience leading global cross-functional teams across AI, Data Science and Analytics I'm currently exploring Director, Head of AI and Enterprise Data Science leadership opportunities, where I can help organizations define AI strategy, build high-performing teams and deliver enterprise-scale AI platforms that create measurable business value. Let's connect if you're passionate about building the next generation of enterprise AI.

Location

Greater Bengaluru Area

AI stack

claude code

hugging face

langchain

langgraph

Guardrails AI

Pinecone

Work experience

Senior Principal Data Scientist at Eli Lilly and Company, Mar 2025 - Present · 1 yr 7 mos, Bengaluru, Driving data and AI transformation within Product Research & Development (PRD) by modernising scientific data capture, building scalable AI & analytics platforms, and deploying AI solutions that improve research productivity for 1,500+ scientists. · Led enterprise-wide transformation across data, AI, and analytics, modernising scientific workflows and delivering $3M–$5M+ cumulative efficiency gains · Head Data Science and DOPPLER (PRD Analytics COE), leading global US–India teams and a 140+ initiative portfolio to deliver enterprise decision intelligence capabilities · Architected and scaled data & analytics platforms enabling structured capture, integration, and analysis of experimental data across 7+ research labs and 4+ R&D functions · Built and deployed AI/GenAI solutions automating regulatory reporting and scientific workflows, reducing cycle times from days/weeks to minutes and improving productivity at scale · Drove adoption across 1,000+ users and 100+ scientific programs, standardising data, improving interoperability, and enabling advanced analytics and AI readiness. Partnered with senior scientific and technology leadership to define data strategy, prioritise high-impact initiatives, and scale solutions across global R&D · Mentored and scaled cross-functional teams (30+ members) across data science, engineering, and scientific domains, strengthening enterprise AI and analytics capability · Led strategic vendor onboarding & build-vs-buy decisions, accelerating delivery while managing external partnerships at scale

Data Science Manager at Eli Lilly and Company, Mar 2023 - Mar 2025 · 2 yrs 1 mo, India

Data Scientist (Senior Associate Manager) at Eli Lilly and Company, Mar 2021 - Mar 2023 · 2 yrs 1 mo

Data Scientist at Moonfrog Labs, Jul 2015 - Jan 2018 · 2 yrs 7 mos, Bengaluru Area, India

Senior Business Analyst at Mu Sigma, Jan 2014 - Jul 2015 · 1 yr 7 mos, Bangalore, - Worked with Global Social Media Engagement tracking team for major technology provider in US [Single person team, Pilot Project, Direct Client Interaction on a daily basis, No onsite intervention] - Gained Extensive hands on experience in Reporting, Dash-boarding, Workflow Automation - Expertise in Microsoft Technologies and Data manipulation tools including R, SQL, Excel, SSIS Data Modeling - Strong experience on Python based web analytics tool development and implementation - Received Spot Award for ‘Exceptional contribution in the Pricing work stream, proactively developing the ‘YouTube Channel Analysis Tool’ & opening several business opportunities with the client’

Business Analyst at Mu Sigma, May 2012 - Dec 2013 · 1 yr 8 mos, Bangalore, India, • Requirements Gathering, Analysis of data sources and extraction of insights, understanding business rules, identifying the gaps, determining solutions and presentation back to client • Translating the client’s business problem into work units, bridging the gap between the client and technical team, • Design of business critical interactive reports using data visualization tools • Transitioning and sharing knowledge amongst teams for mutual benefit • Prepared exhaustive documents timelines, detailing processes, methodology and QC steps to enable smooth inductions/transitions

Intern (Application Developer) at IBM, May 2011 - Nov 2011 · 7 mos, Bangalore, India, - 6 Months Industrial Training on JAVA based IBM R&CM Dashboard Decision Support System Application Software Development with What-if Analysis Strategic Decision Aide Simulation Tool Enhancement at IBM India Pvt Ltd, Bangalore. - This project-cum-training focuses on understanding the fundamental and advanced concepts of JAVA programming language and application of the same on development of R&CM Dashboard Application tool, What-if Analysis Enhancement to the tool, upgrades to Version 1.7.0 and 1.7.6 following iterative waterfall SDLC approach.

Education

B.tech., Computer Science and Engineering, National Institute of Technology (NIT) Hamirpur