Medhini Kulkarni
Business Analyst @ Zepto
About
I find the human story hiding in messy datasets - because no two users are the same, and that's exactly what keeps the work interesting. 4+ years building user analytics, experimentation projects, and lifecycle models at high-growth consumer platforms. My work has spanned quick-commerce operations, user acquisition experiments, pricing strategy, and supply chain analytics - across Zepto, one of India's fastest growing startups, and Briq, a B2B fintech platform. Currently finishing my MSBA at UW Foster, deepening my expertise in causal inference, analytical methods and models, and turning machine learning outputs into strategic actionables.
United States
Seattle
Information Technology & Services
Data Build Tool (DBT), Data Strategy, Data Management, Pricing Analysis, Customer Lifecycle Management, Consumer Insight, Customer Acquisition Strategies, Customer Retention, A/B Testing, Event Organization, SAS Visual Analytics, Numerical Methods, Airflow, Performance Metrics, Root Cause Analysis, Databricks, Amazon Redshift, Data Modeling, Project Coordination, Project Management
Experience

Business Analyst
Mumbai Metropolitan Region
Zepto is one of India's fastest growing quick-commerce platforms - 10-minute delivery across grocery, pharmacy, electronics and apparel through 1000+ dark stores. I owned analytics across two areas: Supply Chain & Operations Analytics: Dark store inventory planning, availability tracking, order delivery optimisation, and refunds attribution. Built real-time reporting pipelines and led a full data infrastructure redesign that improved operational efficiency significantly. User Analytics (Zepto Cafe): End-to-end user lifecycle analytics for a new quick-commerce vertical - acquisition strategy, power user identification, reactivation experiments, pricing experiments, and user journey analytics. Grew the vertical from early stage to significant scale through data-driven decisions.

Senior Technical Consultant
Briq is an AI-driven financial automation platform for construction finance professionals in North America. I worked across two focus areas over nearly 2 years: Customer Success and BI Analytics Consultant: Designed and implemented end-to-end data pipeline solutions - SQL, data modelling, BI reporting, and automation - for enterprise clients across North America. Led client interactions, user training, and adoption initiatives. Internal Data Infrastructure: Led a 0-to-1 data modelling initiative designing standard data models that reduced ETL processing from 8+ hours to 30 minutes. Built ERDs and documentation for knowledge sharing across the organisation

Data Science and Business Analytics Intern
TSF
Worked on various assigned tasks that involved Machine Learning Algorithms, Data Science, Exploratory Data Analysis using Python Programming.
Education

Business Analytics
Team Lead - Mentorship Program 2025-26 Coursework : Statistics, Data Management (Advanced SQL), Visualisation and Storytelling, Customer Analytics, Digital Marketing Analytic, Causal Inference Models & Experimentation, Supply Chain and Operations Analysis, Machine Learning, Regression & Modelling Methods Extra Elective : AI Product Management Fundamentals Ideated and built a working prototype in Loveable from 0-1 including Problem Statement + Appropriate Valid AI solution, Data Strategy, Modelling options,, Market Analysis and Target Users, Business Model, Pricing and Revenue Streams, Evals and Responsible AI
Medhini Kulkarni's Contact Information
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