---
title: "Abhay Singh - AI Intern in Bengaluru | Tal"
description: "Meet Abhay Singh, Faculty Fellow | M.Tech Data Science @ IIT Roorkee | Ex - ZS, Axtria | B.Tech @ IIT Tirupati based in Bengaluru. AI stack includes claude, gemini, and github copilot."
image: "https://tal.club/meet/abhay-singh-16/share-image"
---

# Abhay Singh on Tal

## Headline

Faculty Fellow \| M\.Tech Data Science @ IIT Roorkee \| Ex \- ZS, Axtria \| B\.Tech @ IIT Tirupati

## About

Data Science graduate from IIT Roorkee with 2 years of experience in data analytics and predictive modelling at ZS Associates\. Strong foundation in machine learning, feature engineering, and statistical analysis, with hands\-on experience building end\-to\-end data pipelines and developing models to solve real\-world business problems\. Proficient in Python and SQL, with exposure to NLP and LLM\-based systems including retrieval\-augmented generation \(RAG\) and prompt engineering\. Passionate about leveraging data and machine learning to drive impactful, scalable solutions\.

## Location

Bengaluru

## AI stack

claude

gemini

github copilot

langchain

openai

ChatGPT

## Work experience

AI Intern at Accenture, Sep 2026 \- Present · 1 mo, Bengaluru

Tech Summer Intern at Axtria \- Ingenious Insights, May 2025 \- Jul 2025 · 3 mos, Noida, Uttar Pradesh, India, • Developed components of an NLP\-based query resolution system using large language models \(LLMs\) and retrieval\-augmented generation \(RAG\)\. • Built a data retrieval and preprocessing pipeline in Python to support context\-aware response generation\. • Applied prompt engineering techniques to optimize LLM outputs, improving relevance and accuracy of generated responses\. • Contributed to query classification and workflow orchestration using LangChain\-based pipelines\. • Enabled scalable handling of unstructured queries through integration of LLMs with structured data sources\.

Decision Analytics Associate at ZS, Jun 2022 \- Mar 2024 · 1 yr 10 mos, Pune District, Maharashtra, India, • Designed and implemented an end\-to\-end feature engineering pipeline using SQL to generate 50\+ features for a predictive modelling system\. • Performed exploratory data analysis \(EDA\) and statistical analysis on large healthcare datasets using Python to identify key drivers and patterns\. • Evaluated multiple datasets and engineered features to support model development, improving data quality and model readiness\. • Automated data preprocessing and feature computation workflows using SQL and Python, improving pipeline efficiency by 60%\. • Applied data\-driven analyses to assess the performance of a newly launched product for a Fortune 500 client, enabling faster and more informed decision\-making\.

## Education

M\.Tech, Data Science, Indian Institute of Technology, Roorkee

B\.Tech, Indian Institute of Technology Tirupati

[View the original profile](https://tal.club/meet/abhay-singh-16)

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