Available to hire
Marketing & Growth Data Analyst with 4+ years of experience specializing in data-driven marketing analytics, customer insights, and growth optimization.
Skilled in Python, SQL, Excel, BI tools to transform complex datasets into actionable insights and performance metrics. Experienced in experimentation,
segmentation, forecasting, attribution modeling, and lifecycle analytics to improve conversion, retention, and ROI. Adept at building scalable dashboards,
automated reporting systems, and analytical frameworks supporting strategic decision-making across omnichannel businesses.
Skills
Work Experience
Marketing & Growth Analyst at Nike
November 1, 2024 - PresentEngineered Nike Membership and SNKRS behavioral intelligence system using Python, SQL, and real-time streaming pipelines to unify cross-channel customer interactions, improve segmentation/personalization accuracy, and increase completed transactions by 8%. Architected AI-driven decisioning and attribution models (LLM-based feature engineering and graph ML) with collaboration across Product, Risk, Data Science, and Engineering, improving approval prediction accuracy by 32% while supporting 1.2M monthly transactions. Led Bayesian A/B testing and multivariate experimentation across Nike digital commerce journeys (offers, app experiences, recommendations), using uplift modeling and cohort analysis to increase conversion rates by 18% across 50+ experiments. Built real-time executive dashboards using Power BI and Looker, improving reporting efficiency by 22% and reducing analysis time from 5 hours to 2. Drove acquisition lifecycle analytics with Google Analytics, HubSpot, and CDP platforms p
Digital Marketing Analyst at 3M
February 1, 2024 - October 1, 2024Supported product acquisition funnel analysis using Python and SQL, improving segmentation and conversion pathways and contributing to an 8% increase in completed transactions while reducing drop-offs across key journey stages. Contributed to AI-driven demand forecasting and attribution models with cross-functional teams, improving prediction accuracy by 12% and supporting 1.2M monthly transactions to enable scalable planning and monitoring across product portfolios. Helped design an experimentation framework using Bayesian A/B testing, supporting multivariate testing across campaigns and pricing and contributing to an 18% conversion lift across 50+ experiments while improving reporting efficiency by 22%.
Marketing Data Analyst at ITC Limited (FMCG Division)
August 1, 2020 - August 1, 2022Developed product and category analytics models for ITC FMCG portfolio using purchase, POS, CRM, and digital data, improving marketing ROI by 10% and targeting accuracy by 18%, enabling FMCG segmentation across demographics and consumption occasions. Analyzed omnichannel campaign performance across retail activations, e-commerce, digital media, and influencer marketing, increasing consumer engagement by 31% and improving click-through rates by 22% via personalized promotions and optimized content/product positioning. Built interactive dashboards using Looker, Google Data Studio, and Excel to track FMCG KPIs (sales velocity, market-share proxies, repeat purchase rate, distribution coverage, campaign ROI), reducing reporting time and improving decision speed. Designed and automated ETL pipelines using Python and Alteryx integrating retail POS, distributor networks, and e-commerce/marketing analytics tools, reducing manual data processing by 35% and enabling forecasting/trend analysis. Ap
Education
Master of Science (M.S.) in Data Science at University of New Haven
September 1, 2022 - May 1, 2024Bachelor of Technology (B.Tech) in Information Technology at Meenakshi Sundararajan Engineering College
September 1, 2018 - July 1, 2022Qualifications
Industry Experience
Consumer Goods, Retail, Media & Entertainment, Professional Services
Skills
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