Nov 2020 – Mar 2025 · 4 yrs 4 mos · Gurugram, Haryana, India · Hybrid

• ● Marketing Analytics || Revenue Growth Management - Leading ML and analytics teams for Fortune 50 FMCG clients,
• analyzing large datasets, collaborating with stakeholders to deliver actionable strategies, and managing end-to-end cloud
• deployments on platforms like Azure, Databricks, and AWS in an agile environment
• ● Generative AI / Large Language Models
• ○ Developed a GenAI-powered text insight and summarization module using LLMs and prompt engineering in Azure for
• monthly business reviews at a global beverage leader, saving 30+ hours monthly
• ○ Integrated LLM-based question-answering capabilities in Beagle, a proprietary award-winning conversational AI tool,
• to cater to C-suite questions in real time integrated within MS Teams
• ○ Conducted internal proof of concepts on knowledge graphs in GraphDB, dynamic pricing engines, data quality
• enrichment using LLMs, and AutoML (Azure AutoML, H2O.ai)
• ● Revenue Growth Management (RGM)
• ○ Developed a multi-country, omnichannel (Traditional Trade, Modern Trade, and E-commerce) long-range planning,
• forecasting, and goal-seek simulator for a major beverage manufacturer across ASEAN, using elasticity models, A/B
• testing, and advanced statistical techniques, projected to save $10Mn over 5 years
• ○ Created interactive Power BI dashboards for pricing simulations and promotion ROI analysis for a UK tobacco
• conglomerate across channels, employing ARIMAX time series models, decision trees, and loyalty analytics, generating
• an estimated annual value of ~£6 million
• ○ Conducted comprehensive shopper behavior analysis, promotion analytics, and price change scenario simulations for
• cereal manufacturers across 8 Latin American countries, using regression models, clustering techniques, and
• custom-built dashboards, resulting in an estimated annual impact of ~$70 million USD
• ○ Shaped strategic analytics and data product roadmaps for MENA, Africa, APAC, and LatAm, working closely with
• senior stakeholders and vendors

Dec 2019 – Oct 2020 · 10 mos · Gurgaon, India

• ● Performed net present value modeling (NPV) for commercial prospects using XGBoost and CatBoost, processing data in
• Hadoop (Hive and HDFS) and PySpark to assess post-tax profitability for a $2 billion annual business volume
• ● Built targeting models for the Telemarketing channel using XGBoost to target small businesses, resulting in +30% responses
• ● Conducted MRM - Model monitoring, stability analyses, and compliance tracking of deployed risk models against the Early
• Warning System (EWS) during the onset of COVID-19 in early 2020

May 2018 – Nov 2019 · 1 yr 6 mos · New Delhi Area, India · On-site

• ● Deployed as Onsight Associate Consultant at ZS Associates
• ○ Executed end-to-end data analysis, modeling, pipelining, and dashboarding using SQL, Python, R, Dataiku,
• AWS Redshift, and Tableau, engaging directly with the C-suite of a Fortune 100 healthcare client
• ○ Led headroom segmentation for a new drug in the US market, using A/B testing with SQL and Python in
• Dataiku, Alation, and AWS Redshift, along with a Tableau monitoring dashboard, achieving a 300% lift
• ○ Built a hyper-personalized HCP propensity marketing optimizer powered by ensemble classification models in
• R and a Tableau dashboard to monitor open, click-through, and call-to-action rates, increasing response rates
• from 1% to 3% through targeted email and call channels
• ● Analyst, Absolutdata Labs - Developed an AI-enabled decision support system to personalize marketing
• communications and offerings for India’s largest eyewear retailer using market basket analysis, increasing AOV by 20%