Headline

Data Science/Machine Learning Leader

About

Data Science, Machine Learning & applied AI leader with >20yrs of experience. Led global Data Science and Engineering teams and collaborated with Product and Business stakeholders in identifying opportunities and building DS/ML solutions around it. Expanded the team by 5X in just 18 months. Managed 21+ team of managers, data scientists, MLEs & analysts across different geographies. Designed robust & scalable solutions & collaborated with different tech teams in developing end-to-end products. Created roadmap for Data Science organization. Hired, mentored and built teams from scratch and managed projects generating $MM in revenue/year Areas:- Automation, Chatbot, Recommendation/Relevance, Demand Forecasting, A/B Experimentations, Dynamic Optimal Pricing, Product Bundling, Text Classification/NLP, Promotion Effectiveness & Planning, Sales & Pipeline Analytics, Attrition/Retention, Segmentation/Profiling, CRM, Marketing, Campaign Design & Management, Banking Frauds, Event Based Marketing, Cross-sell/Up Sell, Anti Money Laundering etc Industries:- E-Commerce, Contact Center, Product/Manufacturing, Banking, Insurance, Finance, Sales & Marketing Machine Learning: - GLMs, Tree Based Models(Bagging & Boosting), CF/Assoc, Clustering, SVMs, KNNs and many more. Deep Learning: - Transformers, Gen AI/LLMs, MLP/ANNs, RNNs Tools/Software:- Python/Pandas, Pytorch, Pyspark, R, SAS(Base & EM), SQL & sql-like(Hive), Databases(Teradata,Oracle), Hadoop (HDFS), Cloud (AWS)

Location

Bengaluru

AI stack

claude code

cursor

gemini

github copilot

langchain

Work experience

Director & Head of Machine Learning at Narvar, Jan 2024 - Present · 2 yrs 9 mos, Bengaluru, Karnataka, India, Built IRIS, fraud/risk intelligence tool (https://corp.narvar.com/iris Developed Customer Identity Graph Scaled team from 0-to-x

AI/ML Advisor at Startups, Jun 2023 - Present · 3 yrs 4 mos, Mentored and served as an advisor to startups, helping them to adopt AI (including Gen AI)

Senior Manager, Data Science at Groupon, Oct 2019 - Apr 2023 · 3 yrs 7 mos, United States/India, Merchant's demand forecasting - Design and managing team working on Groupon's merchant demand forecast to onboard best merchants. Created an impact of $1.7m in Gross Profit/year Merchant Attrition - Design & and managing team working on merchant attrition to help building retention strategies. Created an impact of $650k in Gross Revenue/year Product/Deal Bundling - Design & develop deals which are redeemed together frequently and create deal combos increasing the conversion rate to +2% Supply Density - Leading team in bridging supply gap corresponding to customers demand in major geographies with a potential impact of $3M/year Predicting Product Category - Using text data from Merchant Name & Deal Title SEO Keywords recommendation - Surfacing best keywords to help Agents write deal contents during a Deal setup. Resulted in yearly $750k incremental revenue in US Extreme Customer Experience flagging - Based on customer chat conversation, predicting if they have had any extreme experience. Resulted in yearly $445k savings worldwide + 4% increase in customer satisfaction Experimentation - Led Groupon's experimentation team and helped different teams run their A/B experiments smoothly and efficiently Machine Learning Platform - Oversaw and managed Groupon's first ML platform on Cloud(AWS)

Manager II, Data Sciences, Groupon Global Service Organisation(Robotics & Automation) at Groupon, Apr 2016 - Sep 2019 · 3 yrs 6 mos, India, Expired Deals Recommendation - Redirecting expired deals pages to closest live deal page. Resulted in yearly $379k impact + indirect improving deals SEO ranking Tour Deal Recommendation - For Upsell (related Tour deals) & Cross-sell (Goods deal) Agent Response Prediction/AI Chatbot Response - Predicting top response for a customer query/interaction with Groupon's Agents Search Engine via relevance - Improving Contact center search engine using relevance Refunds Prediction - Predicting customers who would come for refund in near-future Customer Segmentation - Segment customers based on wholistic view (value, profit, behavior, experience etc) so as to have differential treatments Campaigns propensity model - Identify right customer for upsell with focussed efforts Advanced Analysis of Refunds/Denials Impact

Manager I, Data Sciences, Groupon APAC at Groupon, Jan 2015 - Mar 2016 · 1 yr 3 mos, India, Nearby Deal Recommendation -Algorithm to show best deals in customer's vicinity on Groupon Mobile App. Performance improvement of 15%(AU) and 58%(TH) in terms of GB reported. Additional GB of US$25k generated between Aug'15 to Oct'15 in SG Email Deal Relevance - Set of Algorithms and business rules, which facilitate relevant deals to users/subscribers through Emails. Test results showed 13% more conversion rate Dynamic Pricing recommendation -Automated Pricing correction algorithm based on performance of deals on Groupon site as well as competitor’s pricing. Testing on sample deal shows significant increase in GB by 68% and GR by 5% Product Bundling - Product bundling algorithm to decide which products (complementary/imperfectly competitive goods) should be sold together

Analytics Manager, North America at Hewlett-Packard, Mar 2010 - Apr 2013 · 3 yrs 2 mos, Evaluating Promotional/Marketing Effectiveness using Mix Modeling Developed a pricing/discount management tool for pricing decisions. Potential margin impact for this initiative is US$ 16-20 million for a year projects related to IPG-GSB Sales Team Sales Pipeline/Opportunities Win-Rate Analysis Account Sales analysis using RFM segmentation technique US Segmentation for optimum sales force allocation

Analytics/Machine Learning Lead at Max New York Life/Satyam, Dec 2008 - Jan 2010 · 1 yr 2 mos, Customer segmentation/value management for retention, development & win-back strategies Policy lapsation, Agent attrition/performace, Employee Attrition/Retention models for an Indian Insurance major Customer loyalty, perception & Customer Lifetime Value Models Building one entity-one record for customers, agents, policies

Education

BTech, Information Technology, Indian Institute Of Information Technology allahabad