---
title: "Kush Jain - Data Scientist in Mumbai | Tal"
description: "Meet Kush Jain, Data Scientist at Fractal Analytics | BITS Pilani based in Mumbai. AI stack includes codex and cursor."
image: "https://tal.club/meet/kush-jain/share-image"
---

# Kush Jain on Tal

## Headline

Data Scientist at Fractal Analytics \| BITS Pilani

## About

Data Scientist with 5 years of experience in generative AI, prompt engineering, LLMs, data modelling, NLP, traditional ML algorithms and other parts of the data pipeline, such as data scraping, data visualization, feature engineering, etc\. I also have experience in new\-age technologies like Generative AI, LLMs and RAG based applications and have developed solutions to use them in industry use cases\.

## Location

Mumbai

## AI stack

codex

cursor

## Work experience

Data Scientist at Fractal, Sep 2024 \- Present · 2 yrs, Mumbai, Maharashtra, India, ● Claims Triage Automation: Engineered LLM and prompt\-engineering workflows to automate manual Appeals & Grievances triage \(Member/Auth ID extraction\), reducing processing turnaround time by 60% and saving 400\+ man\-hours monthly for the client\. ● Kacey Chatbot & SOP Q&A Expansion: Led the rollout of advanced chatbot features \(n\-gram PDF highlighting, UI navigation, Excel parsing\) across CBBO and IMO business lines, accelerating document retrieval speed by 400% and driving $3M in organizational cost savings\. ● Grafana Analytics CI/CD Automation: Architected a fully automated CI/CD pipeline and Python cronjobs for Grafana business dashboards, eliminating 100% of daily manual reporting effort and enabling real\-time operational visibility for the US leadership team\. ● ACET Integration Strategy: Owned the ACET\-Kacey integration architecture from scratch, translating complex business requirements into robust LLM pipelines projected to support 400\+ daily active users across multiple quarters in 2026\.

Data Scientist at Jio, Jul 2021 \- Sep 2024 · 3 yrs 3 mos, \- LLM\-based external knowledge chatbots: Worked on creating an e\-commerce retail consumer\-facing LLM\-based chatbot, automating the complete product ordering journey\. \- QnA RAG chatbots: Created a dashboard API where users can do QnA with their documents via LLMs and vector databases like ChromaDB and FAISS\. \- TM Forum Jio Async API Hackathon Challenge: Was a part of Jio’s Hackathon team of 5 people, where we developed TMF AIVA, a multilingual LLM\-based QA chatbot for Telecom use cases\. Came in 2nd place in the same\. \- LLM Dashboard: Developed a complete end\-to\-end dashboard for users to finetune their custom Q&A dataset on any LLM and interact with the finetuned LLM directly in our chatbot interface\. \- IndicLens Dashboard: Developed a complete end\-to\-end dashboard for users to use our novel IndicLens pipeline and power their product catalogue with our novel multimodal and multilingual search capabilities\. \- Multilingual Hate Speech Classification: Ran multiple experiments for generating rich embeddings for hate speech tweets data and optimal semantic understanding of the text\. Work is currently submitted for a patent\. \- Domain Prediction: Developed an ML\-based end\-to\-end pipeline for classifying a query into multiple domains, using multiple data processing, cleaning and feature engineering techniques\. Currently deployed in MyJio app and increased search CTR by 15\.2%\. \- Indic Transliteration and Translation: Developed an end\-to\-end transliteration and translation pipeline and REST APIs for major Indian regional languages for all domains of Jio’s e\-commerce platforms, increasing media and e\-commerce search CTR by 12\.4%\. \- Query Category Prediction: Developed an end\-to\-end pipeline and REST APIs for recognising categories to which the query belongs at every category level using NLP feature engineering and modelling techniques\. Increased product search page CTR by 24%\.

Data Science Intern at Crayon Data, Jan 2021 \- Apr 2021 · 4 mos, Developed a PoC for NLP\-based extraction of product attributes from product descriptions for fashion products and tested the same with different algorithmic methods\.

Data Science Intern at Couture\.ai, Aug 2020 \- Dec 2020 · 5 mos, Worked on various modules towards the development of search engine pipeline for a fashion e\-commerce platform along with other data science analysis, research and experimentation tasks related to the pipeline\.

AI Intern at Jio, May 2020 \- Aug 2020 · 4 mos, Worked on search query optimization for AJIO Fashion and developed a knowledge graph API scalable to multiple e\-commerce domains, titled J\.A\.N\.K\.I \(Just a New Knowledge Graph\)\.

## Education

Bachelor of Engineering \- BE, Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani

HSC \(Maharashtra Board\), Science, KC College

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

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