---
title: "Kathan K. - Business Analyst in Greater Bengaluru Area | Tal"
description: "Meet Kathan K., Analyst @ Flipkart | SQL · Python · A/B Testing · ML · LLMs/MCP | AI Engineering based in Greater Bengaluru Area. AI stack includes claude, cursor, and gemini. Explore public work links including github."
image: "https://tal.club/meet/kathan-kathrotiya/share-image"
---

# Kathan K\. on Tal

## Headline

Analyst @ Flipkart \| SQL · Python · A/B Testing · ML · LLMs/MCP \| AI Engineering

## About

Analyst at Flipkart who turns messy customer and operations data into automated systems, predictive models and decisions that move metrics\. What I've built: • Automated RCA framework \(MCP \+ decision\-tree logic\) for Agent\-Serve and Self\-Serve: isolates baseline vs mix\-shift effects and cut deep\-dive turnaround 88% \(2 hrs → 12–15 min\)\. • Incident Journey Scoring Model: predicts 0\.03%\-rare escalations with feature engineering, cohorting and Brier\-calibrated scores \(75% recall at 10% precision\), reducing Escalations Per Million Units by 9pp in two months\. • 15\+ quasi\-experiments and A/B evaluations that improved CTU by 30pp while cutting structural cost; earlier, 3\+ A/B tests contributing 100\+ Cr incremental revenue\. • VOC quantification framework \(70% correlation with organic traffic\) and a GenAI feedback\-classification pipeline with Looker dashboards\. • Led the Social Media & Platform Integrity Forum: 150\+ non\-compliant sellers blacklisted, 7\+ executive reviews\. Toolkit: SQL · Python · BigQuery · Looker · Scikit\-learn · A/B & quasi\-experimentation · LLMs/RAG \(LangChain, FAISS, HuggingFace\) · MCP Open to Analyst, Product Analyst, Data Science and AI Engineering roles\. Reach me: kathankathrotiya@gmail\.com

## Location

Greater Bengaluru Area

## AI stack

claude

cursor

gemini

github copilot

hugging face

notebooklm

## Work experience

Business Analyst at Flipkart, Jul 2025 \- Present · 1 yr 5 mos, Analytics for Customer Support and Self\-Serve: automation, predictive modelling and experimentation that cut cost and improve customer experience\. • Automated RCA framework: Built an end\-to\-end Root Cause Analysis framework across Agent\-Serve and Self\-Serve using MCP, real\-time optimised database queries and multi\-dimensional decision\-tree logic to isolate baseline vs mix\-shift effects at granular levels\. Cut deep\-dive turnaround 88% \(2 hrs → 12–15 min\)\. • Incident Journey Scoring Model: Built an ML model to predict rare\-event escalations \(0\.03% base rate\) using feature engineering, cohorting and Brier\-score calibration\. Achieved 75% recall at 10% precision; routing high\-risk cases to dedicated queues with proactive outreach reduced Escalations Per Million Units \(EPMU\) by 9pp over two months\. • Experimentation: Evaluated 15\+ A/B tests and quasi\-experiments where standard split\-testing wasn't viable, guiding scale\-up/scale\-down decisions\. Improved the CTU rate by 30pp while cutting structural cost without hurting customer experience\. • Platform integrity: Founded and led the Social Media & Platform Integrity Forum with category teams to flag Seller and FSN compliance issues\. Created a CEO\-tracked charter that led to 7\+ executive brand meetings and the blacklisting of 150\+ non\-compliant sellers\.

Event Coordinator at Flipkart, May 2025 \- Jun 2025 · 2 mos, ▪︎ Executed end\-to\-end organisation of ANALYTIQ'25 hackathon for 100\+ analysts, managing creative direction, budget oversight, venue coordination, and cross\-functional stakeholder collaboration to deliver successful competition\. ▪︎ Designed comprehensive event branding and digital presence including 5\+ promotional posters, marketing materials, and fully functional event website with traffic monitoring capabilities to optimise participant engagement\.

Business Analyst at Flipkart, Jan 2025 \- Jun 2025 · 6 mos, ▪︎ Analyzed social media VOC to uncover customer pain points and enhanced case\-handling workflows for improved issue resolution\. ▪︎ Developed a VOC quantification framework, revealing a strong 70% correlation with platform organic traffic to drive data\-backed prioritization\. ▪︎ Built a semi\-automated GenAI pipeline to classify negative feedback into structured categories, with real\-time insights visualized on Looker dashboards\. ▪︎ Assessed 3\+ A/B experiments, contributing to incremental revenue of 100\+ crores by optimizing ad strategy and self\-serve experience\.

Software Engineer at JubatusAI Labs, May 2024 \- Jul 2024 · 3 mos, Ahmedabad, ▪︎ Developed a "Confession" feature within a SaaS application to foster team\-building using AWS services, including API Gateway for RESTful APIs, DynamoDB for data storage, and React for frontend development\. ▪︎ Utilized AWS Lambda functions to handle backend logic and interact with DynamoDB for CRUD operations on confession data\. ▪︎ Deployed a serverless AWS API to support seamless data operations, including transaction history and profile management\. ▪︎ Developed a React Native app for loyalty point management in restaurants, including referral rewards via friend referrals and Instagram follows\. ▪︎ Designed and implemented OAuth\-based Google authentication , integrating Google Analytics into a dashboard for account and property management and scripted API calls featuring OAuth consent handling and JSON file attachments\.

## Education

Bachelor of Technology \- BTech, Computer Software Engineering, Nirma University

12th, JEE Asprint, P\. V\. Modi School

## Public links

- github: https://github\.com/Kathankathrotiya

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

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