---
title: "Yash Anwane - Business Analyst in Bengaluru | Tal"
description: "Meet Yash Anwane, Data Analyst | Process Automation & Analytics Engineering | Supply Chain · E-Commerce · Quick Commerce | Python · SQL · Power BI based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/yash-anwane/share-image"
---

# Yash Anwane on Tal

## 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

[View the original profile](https://tal.club/meet/yash-anwane)

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