---
title: "Darpan Chanana - Associate Data Scientist in Bengaluru | Tal"
description: "Meet Darpan Chanana, Associate Data Scientist at Swiggy | Machine Learning | Deep Learning | NLP | Generative AI | LLMs | RAG | Applied AI based in Bengaluru. AI stack includes cursor, windsurf, and huggingface. Explore public work links including github."
image: "https://tal.club/meet/darpan-chanana/share-image"
---

# Darpan Chanana on Tal

## Headline

Associate Data Scientist at Swiggy \| Machine Learning \| Deep Learning \| NLP \| Generative AI \| LLMs \| RAG \| Applied AI

## About

Data Scientist with experience in Machine Learning, Deep Learning, NLP, and Generative AI\. Skilled in developing predictive models, LLM\-powered applications, intent classification systems, and RAG\-based solutions using Python, SQL, TensorFlow, PyTorch, Scikit\-learn, and Hugging Face\. Experienced in production ML systems, model evaluation, feature engineering, performance analysis, and model monitoring\. Passionate about solving real\-world business problems through applied AI and building scalable, data\-driven intelligent systems\.

## Location

Bengaluru

## AI stack

cursor

windsurf

huggingface

Devin

## Work experience

Associate Data Scientist at Swiggy, Jan 2026 \- Present · 8 mos, Bengaluru, Karnataka, India

Data Scientist at CARS24, Jul 2025 \- Jan 2026 · 7 mos, Gurugram, Haryana, India

AI Intern at Bobble AI, Aug 2024 \- Jul 2025 · 1 yr, Hybrid, • Built and optimized multilingual intent recognition models, boosting user engagement and conversions by 40% across 5\+ regional markets\. • Created multithreaded data ingestion workflow that decreased data extraction pipeline runtime by 70%\. • Created new pipeline for intent detection models utilizing Llama 3\.1\-70B model\. • Designed advanced Deep Learning model architecture, achieving a 16% improvement in precision \(from 0\.68 to 0\.79\) for user intent detection, significantly enhancing ad optimization strategies\. • Optimized inference scripts for deep learning models, reducing time complexity and improving efficiency, with metrics such as a 30% reduction in inference time per sample and a 25% decrease in evaluation time\.

Vice President at IOSD MAIT, Aug 2023 \- Jun 2024 · 11 mos, New Delhi, Delhi, India

Artificial Intelligence Intern at Bobble AI, Feb 2023 \- Apr 2024 · 1 yr 3 mos, Gurugram, Haryana, India, • Building AI models for intent detection\. • Achieved significant results in improving precision and recall metrics of shopping intent model\. • Executed POCs for improving performance of intent detection models\.

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, Maharaja Agrasen Institute Of Technology, Delhi

Dav Pushpanjali

## Public links

- github: https://github\.com/darpan\-2001

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

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