Meghana Negi profile photo 1 on Tal

Meghana Negi

AI Engineering Leadership

Bengaluru

11+ years of work experience

Flipkart
Jun 20263 mosPresent

Bengaluru

Swiggy
Jul 20232 yrs 11 mosMay 2026

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)
Swiggy
Apr 20234 mosJul 2023

Bengaluru, Karnataka, India

Swiggy
Apr 20212 yrsMar 2023

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)
Swiggy
Jul 20191 y 8 moMar 2021

Bengaluru

Swiggy
May 20181 y 3 moAug 2019

Bengaluru

Culture Machine Media Pvt. Ltd
May 20171 yr 1 moMay 2018

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.
Culture Machine Media Pvt. Ltd
Sep 20169 mosMay 2017

Pune Area, India

CouponDunia
Jun 20151 yr 3 mosAug 2016

- 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

Indian Institute Of Information Technology allahabad

Master of Technology (M.Tech.), Information Technology

Indian Institute Of Information Technology allahabad

20132 yrs2015

Join Meghana and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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