Bengaluru, Karnataka, India
Data Science & Product Leader | Engagement Manager | AI & ML Innovation | Driving Business Growth Through Data | Product Development | Project Management As a Data Science Manager and Product Leader, I specialize in leveraging AI, Machine Learning, and Gen AI to drive business transformation for Fortune 20 retail and CPG clients. With a track record of managing high-impact, multi-million-dollar engagements, I thrive at the intersection of technology, strategy, and innovation to solve complex business challenges. Currently leading AI-driven product innovation, I drive data science and analytics strategy, product roadmaps, and go-to-market execution to deliver scalable, revenue-generating solutions. From optimizing marketing strategies with deep reinforcement learning to pioneering next-gen AI chatbots that revolutionize workplace productivity, my work is centered on continuous innovation and measurable impact. 🔹 Key Strengths: ✔ AI/ML Product Strategy – Driving end-to-end ML & Gen AI solutions for business impact ✔ Data Science Innovation – Leading cross-functional teams to develop cutting-edge AI frameworks ✔ Business Growth & Revenue Impact – Managing $5M+ engagements, driving $50M+ in revenue uplift ✔ Leadership & Team Building – Managing and mentoring 60+ professionals, fostering a culture of excellence ✔ Scalability & MLOps – Automating model lifecycle management, optimizing efficiency & cost savings I am passionate about bridging the gap between AI-driven insights and business execution, ensuring that data-driven strategies translate into tangible growth. My expertise in Gen AI, predictive modeling, and reinforcement learning allows me to continuously explore new frontiers in AI-powered decision-making and customer personalization. I am a big Sports Fan, keeping work aside. Love playing football and dancing in leisure hours. Also love travelling and exploring new places
- Leading AI delivery project, ensuring compliance with all standard industry practices including ADLC and Evals, while driving continuous innovation and maintaining strong customer engagement and satisfaction - Managing a $1M project, leading a delivery team of ~20 people for a Fortune 100 HCLS partner Key Achievements: - Regulatory Intelligence AI Chatbot & Project Planner: Enabled 40–60% time reduction in regulatory research and document review, driving 3x faster decision-making and productivity for a Fortune 100 HCLS partner delivered through an agentic framework to search, compare, plan, and track regulatory requirements for Pfizer, ensuring 100% compliance with testing standards and aligned acceptance criteria, with multiple client accolades received for the solution
- Managing a $5M annual engagement for Fortune 20 retail & CPG clients - Collaborated with Business Unit heads and the Growth team in the CEO’s office to identify, pitch, and convert new business opportunities, driving $1M in deals over 9 months - Leading Gen AI, ML, and various data science and analytics development projects for retail and CPG verticals as a Product & Data Science Manager - Managing 60+ team members across business units, ensuring delivery excellence and constant innovation Key Achievements: - R&D Cost Innovation Tool: Reduced CPG production costs for the R&D team by $10M within 6 months by leading the development of a cost-innovation tool as Product Manager; enabled 75% reduction in time-to-test and increased recipe testing capacity by 10x through a scalable framework for simulating multiple recipes and packaging designs at the click of a button - Gen AI Chatbot (Slack Integration): Led as Product Manager to deliver a Slack-integrated GenAI bot using agentic AI, boosting productivity by 75% for data scientists and business heads at a Fortune 20 retailer; enabled accurate resolution of descriptive, inquisitive, prescriptive, and predictive queries with 99% accuracy - Next Best Action Framework: Drove $50M revenue uplift through customer-centric, personalized marketing using deep reinforcement learning for a Fortune 20 retailer, helping them move away from product-centric marketing
Business development for MuSigma across new business clients and identifying their problems to pitch the best desired solution: - Converted projects on Website optimisation, Customer lifetime value with a fortune 20 retailer across different marketing verticals Leading a marketing optimisation project on Audience Governance for a home improvement retail giant: - Lead the EDA based analysis on customer targeting strategy for business partners to help them drive better iROAS from marketing campaigns ensuring best practices of A/B testing have been maintained while testing the recommendations - 2x revenue generation by halving the money spent on audience targeting Leading Customer Value modelling to enhance better targeting and priortiztion of audience for campaigns: - Lead the effort on building a predictive modelling framework to identify the monetary value of a customer in next 1 year laying down the whole solution pipeline idea and being involved in problem solving approach throughout execution of the project - 40% increase from a sales objective campaign by targeting higher revenue generating higher propensity audience Leading setting of model governance framework(MlOps): - Lead the effort in developing an automated framework to build models, validate and deploy them and most importantly regular monitoring and tracking of the model performance - Lay down business and in model metrics rule to laydown red flag rules for re triggering of models - Enabled savings of 20M$ by early flagging of a marketing model Lead a dare engagement project on Web Page Enhancement: - Lead the effort to help setup a PIP page enhancement framework including clustering and predictive modelling algorithm to club similar type of PIP into one and have a common enhanced experience for web users enabling best practices across industry being used in web analytics problem space - Enabled engagement increase by 40% and revenue attributed to web page by 10%
Build new ML capabilities for home improvement retailer to maximise marketing outputs through Uplift Modelling - Built an incremental revenue generating framework using causal Machine Learning techniques - Helped a Fortune 20 retailer generate 2x incremental revenue from Services marketing campaign Built an Acquisition Modelling framework to enhance audience selection strategy for direct mailers for a fortune 20 retailer: - Built a propensity framework to identify high propensity audience who had not been purchasing in client acquired premium products helping drive more revenue for the business partners - Drive 0.34% incremental response lift from Decor campaigns also thereby increasing Decor customer base Developed several Latency Based Models for better targeting of audience for decor campaigns: - Developed a XGBoost framework to predict an audience for catalog marketing campaign that would reach the consumers post 1.5 month period - Incremental revenue of 150M$ generated through audience from the campaign Set Décor Propensity Models for an immediate business use case ensuring quality and timeliness: - Setup a propensity structure using predictive modelling algorithm (XGBoost) to identify probable Décor purchaser for décor campaigns Generated incremental CTRs (+35%) and ROAS (+141%) from the campaign Store Proximity Analysis for Hyperlocal Marketing effort: - Setup a structure to identify best stores for a Fortune 20 retailer based on probabilistic purchase happening in the stores across US to help them put more store associates in priority stores and role special - Set up a framework to help Hyperlocal marketing team better roll out localised campaigns near the store region and identify placement of stores associates accordingly - Helped client generate 75 million $ from hyperlocal marketing efforts and increase return per dollar by 20%
- Worked in the Signal Directorate of the organisation and prepared a project on Japanese railways