Headline

Data Analyst | Process Automation & Analytics Engineering | Supply Chain · E-Commerce · Quick Commerce | Python · SQL · Power BI

About

Supply chains break when data doesn't talk to decisions. I fix that. As a Data Analyst at Flipkart (Minutes), I sit at the intersection of supply planning, process engineering, and automation, turning messy operational data into systems that actually work. Whether it's eliminating 10+ hours of manual reporting weekly, building real-time capacity alerts, or scaling a supply network from 5 hubs to a multi-city Tier-2 model, I focus on outcomes, not outputs. What sets me apart isn't a single tool, it's the ability to pick up whatever the problem needs. Python, SQL, Power BI, G-Script, Azure ML, I've used them all, and I learn new stacks fast. My edge is in understanding the business logic behind the data, then engineering the solution around it. Academic foundation: MSc in Data Science (Liverpool John Moores University) + PG Diploma in ML & AI (IIIT Bangalore) + B.Tech (RTMNU) + Diploma (Government Polytechnic) Currently open to conversations around data, supply chain analytics, and process automation. Let's connect.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

openai

ChatGPT

Work experience

Business Analyst at Flipkart, Mar 2025 - Present · 1 yr 8 mos, Bangalore Urban, Karnataka, India, Data Analyst – Senior Executive | Flipkart Minutes (Quick Commerce) Supply Planning · Process Automation · Analytics Engineering Network Scaling Drove operational execution for scaling the supply network from 5 legacy hubs to a distributed Tier-2 multi-city model, directly expanding Flipkart Minutes' market reach. Process Automation & Engineering Built logic-based automation for Tier-2 & City FSN inventory allocation, replacing manual decision-making with a rule-based system enforcing 100% network capacity adherence. Automated Grocery Loss Tree pivot generation and reporting pipelines, saving 10+ man-hours weekly and eliminating human error in loss prevention reporting. Diagnosed and resolved critical IMPORTRANGE latency failures in Hyperlocal Scheduling sheets, restoring 100% reporting uptime during peak operations. Analytics & Leadership Visibility Designed executive dashboards including Scrubbed ACU (Active Capacity Utilization) Tracker and Loss Tree Workflow for leadership-level strategic decisions. Built Daily PVA (Plan vs. Actual) Threshold Mailer for real-time automated alerts on capacity breaches across cross-functional teams. Created consolidated daily views for ATP, DS Deficit, and Fill Rate — reducing stock-out reaction time significantly. Developed Sell-Through Adherence and Vendor Adherence analyses to drive process optimization across supplier operations. Operational Reliability Sole operational backbone during critical staffing gaps — managed end-to-end scheduling and code execution with 100% reliability across teams. Escalated non-promisable expiry product losses for Minutes and Grocery charter, directly reducing inventory write-offs. Forecasting Co-developed end-to-end MAPE (Mean Absolute Percentage Error) models to standardize forecast accuracy tracking across the supply vertical.

Business Analyst at Sandbox, Jan 2024 - Nov 2024 · 11 mos, Remote

System Engineer at Atos, Jul 2023 - Dec 2023 · 6 mos, Pune District, Maharashtra, India

Associate Engineer at Atos, Dec 2022 - Jul 2023 · 8 mos, Remote

Trainee at Atos, Jul 2022 - Dec 2022 · 6 mos, Pune District, Maharashtra, India

Major Project Team Lead at leadingindia.ai, Aug 2021 - Jun 2022 · 11 mos, Major Project on Image Classification of Fire and Water Hazards Using Deep Learning Methods. * Leaded a Team of 4 Members * Developed a Custom Dataset and Machine learning Model for Classification. * Created a Flask Application and Webpage

Summer Intern at leadingindia.ai, Jun 2021 - Aug 2021 · 3 mos, Mini Project on Image Classification of Grape Leaf Disease Detection using CNN Method of Artificial Intelligence and Deep Learning methods.

Education

Master of Science - MS, Data Science, Liverpool John Moores University

Post Graduate Diploma, Machine Learning & AI, International Institute of Information Technology Bangalore