---
title: "Aanchal Kandpal - Data Scientist in Hyderabad | Tal"
description: "Meet Aanchal Kandpal, Data Scientist @ Flutter Entertainment | Generative AI, RAG & LLM Engineering | Predictive ML & NLP | ex-Wells Fargo based in Hyderabad. AI stack includes antigravity and cursor."
image: "https://tal.club/meet/aanchal-kandpal/share-image"
---

# Aanchal Kandpal on Tal

## Headline

Data Scientist @ Flutter Entertainment \| Generative AI, RAG & LLM Engineering \| Predictive ML & NLP \| ex\-Wells Fargo

## About

Data Scientist with 4 years of experience building and deploying production\-grade Generative AI and predictive ML solutions\. At PokerStars \(Flutter Entertainment\), I work on RAG and LLM systems including a production Smart Knowledge Assistant for regulatory and compliance documents, where I built custom retrieval, evaluation frameworks, and access\-control logic and I'm currently developing collusion detection for game integrity\. Earlier, at Wells Fargo, I built NLP and predictive models that delivered real business impact, including an NLP automation framework that supported $10M in projects and a 60% efficiency gain, and classification models that informed leadership decisions\. I work across both traditional ML and modern AI engineering: RAG, LLMs, NLP, evaluation, and cloud deployment on AWS and I enjoy taking systems from prototype to something people actually rely on\. Always keen to take on new challenges in applied AI\.

## Location

Hyderabad

## AI stack

antigravity

cursor

## Work experience

Data Scientist at Flutter Entertainment, Jan 2025 \- Present · 1 yr 8 mos, Hyderabad, Telangana, India, Working as a Data Scientist within PokerStars, part of Flutter Entertainment\. \- Building a rule\-based collusion\-detection system for game integrity, delivering an explainable MVP with ML\-based detection planned for later stages\. \- Worked on the production Smart Knowledge Assistant \(SKA\), a RAG system for regulatory and compliance documents\. Built a custom retrieval layer with structure\-aware chunking and LLM\-generated summaries to improve retrieval quality\. \- Developed a RAGAS\-based evaluation framework in SageMaker with automated scoring and synthetic test\-set generation to benchmark pipeline quality\. \- Implemented access\-control logic enforcing InfoSec and RBAC requirements, so users only retrieve licence\-applicable, role\-appropriate content\. \- Prototyped a re\-architecture of the RAG service from stateful to stateless async FastAPI, enabling horizontal scaling for higher concurrent load\. \- Built a GenAI tool \(AWS Bedrock, Claude 3\.7 Sonnet\) to classify risk items and speed up risk review\.

Quantitative Analytics Specialist at Wells Fargo, Jun 2023 \- Jan 2025 · 1 yr 8 mos, Bengaluru, Karnataka, India · Hybrid, Data Scientist @ NLP team under Enterprise Analytics and Data Science \(EADS\) division\. \- Developed and deployed advanced NLP models across projects including check\-fraud detection, call\-reason identification, and text summarization\. \- Engineered an end\-to\-end NLP classification automation framework, supporting three projects valued at $10M and achieving a 60% efficiency gain\. \- Built a LightGBM classification model for customer call\-reason identification with over 70% per\-class precision, informing customer\-engagement strategy\. \- Developed a Llama\-2 summarization engine for call transcripts, cutting post\-call QA review time significantly\.

Quantitative Analytics Program Associate at Wells Fargo, Jun 2022 \- May 2023 · 1 yr, Bengaluru, Karnataka, India · Hybrid, Program Associate @ NLP team under Enterprise Analytics and Data Science \(EADS\) division\. \- Built a reusable OCR and information\-extraction framework for loan and policy document auditing, reducing manual audit time by 35% and mitigating institutional risk by 50%\. \- Worked on OCR and information\-extraction projects using ML, NLP, and Python\.

Teaching Assistant at Sai University, Jan 2022 \- May 2022 · 5 mos, Chennai, Tamil Nadu, India, Served as a teaching assistant for the Python course\.

Machine Learning Intern \(Avail Finance acquired by Ola\) at Ola, Sep 2021 \- Dec 2021 · 4 mos, Bengaluru, Karnataka, India, \- Improved loan risk predictions with 5% increase in F2 score\. \- Developed a spending analysis tool for categorized spending patterns across \~10000 merchants\.

Data Science Intern at Micron Technology, Aug 2021 \- Sep 2021 · 2 mos, Hyderabad, Telangana, India, Analyzed semiconductor dataset for defects modelling and outliers detection using statistical analysis and machine learning\.

## Education

MSc, Data Science, Chennai Mathematical Institute

BSc, Computer and Physical Science, Delhi University

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

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