Meghana Negi

AI Researcher

Bengaluru, Karnataka, India10 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led multiple ML initiatives at Swiggy
Published 4 papers on fraud detection
Managed a high-performing team of data scientists

Stackforce AI infers this person is a Data Science expert in B2C environments with a focus on ML and analytics.

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Skills

Core Skills

Machine LearningData Science

Other Skills

Location IntelligenceCustomer ExperienceGear ComplianceCatalog HygieneData InsightsFraud predictionAnomaly DetectionFeature EngineeringML PipelinesTime series modellingVideo content analysisText miningNLPPrice comparisonMarketing Automation

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.

Experience

Swiggy

5 roles

Senior Manager- Data Science

Promoted

Jul 2023 – Present · 2 yrs 8 mos

> 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)

Location IntelligenceCustomer ExperienceGear ComplianceCatalog HygieneData InsightsMachine Learning+1

Staff Data Scientist

Apr 2023 – Jul 2023 · 3 mos

Senior Data Scientist

Promoted

Apr 2021 – Mar 2023 · 1 yr 11 mos

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)

Fraud predictionAnomaly DetectionMachine LearningData Science

Data Scientist - 2

Jul 2019 – Apr 2021 · 1 yr 9 mos

Revenue and Growth.

SDE-2 (ML Engineer)

May 2018 – Jun 2019 · 1 yr 1 mo

1. Data Science Platform: Feature Engineering and ML Pipelines
2. Automated Time Series Platform : Time series modelling, correlation, anomaly detection.

Feature EngineeringML PipelinesTime series modellingAnomaly detectionMachine LearningData Science

Culture machine media pvt. ltd

2 roles

Senior Research Engineer

Promoted

May 2017 – May 2018 · 1 yr

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.

Video content analysisText miningNLPMachine LearningData Science

Research Engineer

Sep 2016 – May 2017 · 8 mos

Coupondunia

Data Scientist

Jun 2015 – Aug 2016 · 1 yr 2 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.