---
title: "Meghana Negi - Senior Engineering Manager - AI in Bengaluru | Tal"
description: "Meet Meghana Negi, AI Engineering Leadership based in Bengaluru."
image: "https://tal.club/meet/meghana-negi/share-image"
---

# Meghana Negi on Tal

## Headline

AI Engineering Leadership

## About

A full\-stack data scientist and manager with ∼10 years of track record of delivering both business and technically impactful outcomes\. Over the last 6\+ years at Swiggy, I have been entrusted with progressive responsibilities– starting out as an IC ML Engineer building the ML Platform to a tech\-lead building the first version of the Ads targeting system to now a Sr Manager accountable for a suite of ML platform initiatives\. I currently own DS initiatives across Fraud detection, Customer experience, Time & distance predictions, Delivery\-partner uniform compliance, Catalog hygiene, and Auto Insights using GenAI\. I have built and managed a high\-performing team of 4\-8 data scientists, analysts, and ML engineers over the last 3 years\. Also published 4 papers on fraud detection in top conferences and several technical blogs on ML platform and Gen\-AI solutions\.

## Location

Bengaluru

## Work experience

Senior Engineering Manager \- AI at Flipkart, Jun 2026 \- Present · 3 mos, Bengaluru

Senior Manager\- Data Science at Swiggy, Jul 2023 \- May 2026 · 2 yrs 11 mos, Bengaluru, > Location Intelligence\(Time and distance predictions, Point of Interest and Address mining\) > Customer Experience \(Customer lifetime value and churn prediction\) > Gear Compliance\(Bag and T\-shirt and liveliness compliance\) > Catalog Hygiene\(Catalog text and image sanity and recommendation\) >Data Insights\(Conversational Interface for extracting Inghits from data : text2Sql, text2Insights\)

Staff Data Scientist at Swiggy, Apr 2023 \- Jul 2023 · 4 mos, Bengaluru, Karnataka, India

Senior Data Scientist at Swiggy, Apr 2021 \- Mar 2023 · 2 yrs, Bengaluru, Karnataka, India, Trust and Safety > Fraud prediction and Anomaly Detection in refunds, cash on delivery, cancellations etc\. for all actors \(customer, delivery partner and restaurants\) and multi\-actor collision across business lines \(Food, Instamart, Genie\)

Data Scientist at Swiggy, Jul 2019 \- Mar 2021 · 1 y 8 mo, Bengaluru

ML Engineer at Swiggy, May 2018 \- Aug 2019 · 1 y 3 mo, Bengaluru

Senior Research Engineer at Culture Machine Media Pvt\. Ltd, May 2017 \- May 2018 · 1 yr 1 mo, Pune Area, India, \- Video content analysis using text metadata like comments, titles, descriptions etc across platforms like Youtube, Facebook etc\. \- Brand, Content Format, Content\-Theme Identification/Classification of a video using metadata \- Sentiment and Emotion analysis of comments \- Automatic Title suggestion for a creative brief\. \- Automatic video generation for twitter trends \- Trend personality identification \(multiple social media platforms\) Concepts \- Text mining, Data mining, Feature engineering, NLP, Machine Learning, Deep\-learning\. Techniques \- Word2Vec, Doc2Vec, Bayesian Classification models, Neural Networks, RNN, CNN\. Technologies \- Apache Spark, Spark\-ML, TensorFlow, Keras, Hadoop, Amazon AWS services like EMR, S3\. Challenges \- Highly unbalanced datasets, noisy dataset, FP problem at scale, Very Short\-text, Word\-Disambiguation, Multi\-language, Cross platform, Scalability\.

Research Engineer at Culture Machine Media Pvt\. Ltd, Sep 2016 \- May 2017 · 9 mos, Pune Area, India

Data Scientist at CouponDunia, Jun 2015 \- Aug 2016 · 1 yr 3 mos, \- Worked on price comparison part of CouponDunia Browser extension\. Aim to maximize the product matching across various sites and categories using Solr, MySQL and text mining\. \- Marketing Automation tool that is used for cohort analysis, creating/analysing promotions and workflows\. \- Tracking and logging service of Coupondunia \- Casback website\. \- Data science Consultant of SORTED App\. for hotel recommendation and data analysis\. \- Interact with multiple teams and answer their queries related to trends, user preferences etc\. that can be derived from multiple data sources like MySQL/MongoDb/Redshift or from reporting tools like GA, Localytics etc\. \- Development and maintenance of CD warehouse \- Redshift and integrating it with various product requirements\. \- Finding out areas where predictive analysis and data mining can help in making decisions and User recommendations\. Concepts \- Recommendation Systems, Text mining, Data mining, NLP, Data\-warehousing, MVC, Targeted Marketing\. Techniques \- Content and collaborative filtering, Entity extraction, cohort\-analysis\. Technologies \- Python, PHP, MySQL, Mongo, Amazon AWS services like Redshift, S3, Ec2\.

## Education

Master of Technology \(M\.Tech\.\), Information Technology, Indian Institute Of Information Technology allahabad

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

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