Viswanath Gangavaram — AI Researcher

A seasoned Data Science professional with over 12 years of experience applying machine learning on large-scale, high-impact use cases at Swiggy, [24]7.ai, HP Research Labs. On my name, I have 2 granted US patents, 2 research publications, and I published 6 technical blogs on Swiggy Bytes. Currently, at Swiggy, I lead personalization chatter on the Restaurant’s menu and checkout screens. Over the years at Swiggy, I have led the following efforts - Founding member of the Experimentation Council, which oversees all XPs that run at the organization. - Led Traffic & Acquisition Data Science(DS) chatter ( Sent >100 million PNs/day) - I co-led the building of a general-purpose business-aware hyperlocal forecasting engine that can forecast at various spatial(geohash/zone/city/India/restaurant), and temporal granularity(next 10/30/60/120 mins, day, week, monthly) out of the box. - I co-led efforts on “general purpose anomaly detection, and explanation engine” which monitors business metrics at the hyper-local level, flags anomalies if any, and also gives first explanations on reasons for anomalies. - I led early discounting efforts. Over the years, I built a strong expertise in the following fields - Recommender Systems - Natural Language Processing - Reinforcement Learning ( Multi-Armed Bandits ) - Causal Inference( Uplift modeling, A/B testing, Observational Causal Inference) - Anomaly detection & explanations - Time series forecasting - Mathematical Optimization I did an M.Tech in Computer Science with a specialization in Information Retrieval from IIIT-Bangalore, and after that, I was a Research Assistant to Prof. Soumen Chakrabarti at IIT-Bombay for 9 months. Check out my LinkedIn profile for more details on my background and experience. Github link: https://github.com/viswanath57 Medium link: https://medium.com/@visuthemoon

Stackforce AI infers this person is a Data Science expert in E-commerce with a strong focus on personalization and machine learning.

Location: Bengaluru, Karnataka, India

Experience: 15 yrs 1 mo

Skills

Machine Learning
Personalization
Ad Revenue Optimization
Causal Inference
Data Science
Forecasting
Anomaly Detection
Predictive Modeling
Digital Marketing

Career Highlights

Led a team of 15 Machine Learning Scientists.
Quadrupled ad revenue through innovative ML models.
Co-led the development of a hyperlocal forecasting engine.

Work Experience

Nykaa

Senior Principal Machine Learning Scientist (2 yrs 1 mo)

Swiggy

Staff Data Scientist (1 yr 9 mos)

Senior Data Scientist (3 yrs 2 mos)

Data Scientist II (6 mos)

[24]7

Senior Data Scientist (3 yrs 5 mos)

Data Scientist (1 yr 8 mos)

Analytical Consultant (1 yr 1 mo)

HP labs bangalore, india

Research Intern (11 mos)

IIT Bombay

Research Assistant to Prof. Soumen Chakrabarti (8 mos)

Education

M.Tech at International Institute of Information Technology Bangalore

Viswanath Gangavaram

AI Researcher

Bengaluru, Karnataka, India15 yrs 1 mo experience

AI ML PractitionerAI Enabled

Key Highlights

Led a team of 15 Machine Learning Scientists.
Quadrupled ad revenue through innovative ML models.
Co-led the development of a hyperlocal forecasting engine.

Stackforce AI infers this person is a Data Science expert in E-commerce with a strong focus on personalization and machine learning.

Contact

viswanath57@gmail.com LinkedIn

Skills

Core Skills

Machine LearningPersonalizationAd Revenue OptimizationCausal InferenceData ScienceForecastingAnomaly DetectionPredictive ModelingDigital Marketing

Other Skills

A/B TestingAlgorithmsApache HadoopApache PIGApache SparkAuto BiddingCC++Data MiningData StructuresDeep LearningDistributed SystemsEclipseGenerative AIInformation Extraction

About

Experience

Nykaa

Senior Principal Machine Learning Scientist

Feb 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India

I lead a 15-member team of Machine Learning Scientists at Nykaa Data Sciences, driving the Ads, Recommendations & Personalization (Reco & Pzn), and New Initiatives Pods. Over the past 1.9 years, we have executed 75+ A/B experiments delivering measurable business impact across the customer funnel.
In Ads, we enabled foundational capabilities like Auto Bidding, Keyword Targeting, and Audience Targeting. We built and deployed ML models for Click Through Rate and Revenue per Click, combining them into a multi-objective ranking function CTR × (CPC+RPC) that optimized both organic and ad revenue—quadrupling ad revenue within a year. I also enabled manual/auto bidding, ad pacing options, and deployed multi-armed bandit models for homepage and listing banners.
In Reco & Pzn, I launched multiple personalized widgets: last-minute add-ons, homepage LTR-based “Recommended for You,” brand/category widgets, and PDP modules like Visually Similar Items, Customer Also Bought, and Cart-Aware Pairings. I also built Nykaa’s first Learning-to-Rank powered vertical product listings on search, delivering >1% incremental Revenue per Visit.
I spearheaded generative AI applications: Pair-It-With (cohesive outfit recommendations), Cart-Aware Pairings (checkout cross-sell), Trends-Based Widgets (influencer-driven catalog mapping), and Homepage Cross-Sell (personalized complements).
Within New Initiatives, we deployed causal inference–based coupon/discount optimization, personalized MyOffers, Inventory Planning with forecasting methods, Expected Delivery Date prediction and initiated fraud detection with real-time ML inference.
Additionally, I’m serving as Product Manager for Nykaa’s Realtime ML Inference Engine, a self-serve deployment system for ML scientists.
Overall, I’ve scaled ad monetization, personalized customer journeys, and accelerated AI adoption across Nykaa’s ecosystem.

Machine LearningA/B TestingGenerative AIPersonalizationData Science

Swiggy

3 roles

Staff Data Scientist

Apr 2022 – Jan 2024 · 1 yr 9 mos

Leading personalization chatter on the Restaurant’s menu and checkout screens.
As part of this role, I am also a Tech solutioning mentor, and reviewer(Data Science) for ~8 data scientists to oversee the depth of their DS solutions. I am also tech solutioning mentor, and reviewer(DS) for inhouse Experimentation Platform)
I own Data Science solutions for Recommended, Reorder, Cross-sell, Virtual Combos widgets in the Menu screen, ranking of categories, and ranking of items within those categories. I own personalization chatter on the checkout screen.
I co-led the building of a general-purpose business-aware hyperlocal forecasting engine that can forecast at various spatial(geohash/zone/city/India/restaurant), and temporal granularity(next 10/30/60/120 mins, day, week, monthly) out of the box. Check the following detailed technical blog on my work on forecasting: https://bytes.swiggy.com/hyperlocal-forecasting-at-scale-the-swiggy-forecasting-platform-c07ecd5f5b86
I led Traffic & Acquisition Data Science(DS) chatter ( Sent >100 million PNs/day), you can find a detailed technical writeup on this work here: https://bytes.swiggy.com/smart-push-notifications-multi-armed-bandits-at-swiggy-part-4-f5698f2af0a6

Machine LearningPersonalizationData ScienceForecasting

Senior Data Scientist

Promoted

Apr 2019 – Jun 2022 · 3 yrs 2 mos

I co-led efforts on “general purpose anomaly detection, and explanation engine” which monitors business metrics at the hyper-local level, flags anomalies if any, and also gives first explanations on reasons for anomalies.
Founding member of the Experimentation Council, which oversees all XPs that run at the organization.
I led DS discounting efforts as part of this role. Employed experimental and observational Causal Inference to model the optimal discounting discussions. Please find my detailed technical blog on experimental causal inference: https://medium.com/swiggy-bytes/uplift-modeling-aka-heterogeneous-treatment-effects-evaluation-ad4e3fcf1d76
Other DS efforts I led Customer Life Time Value prediction, Churn Prediction.

Causal InferenceAnomaly DetectionData Science

Data Scientist II

Sep 2018 – Mar 2019 · 6 mos

I led the early discounting efforts as part of this role. Shown significant business impact within 3 months in this role.

Data ScienceMachine Learning

[24]7

3 roles

Senior Data Scientist

Promoted

Apr 2015 – Sep 2018 · 3 yrs 5 mos

Conversational Agents, Sequence2SQL, Topic Modeling with text data
Web Site Personalization and Re-targeting Machine Learning models in multiple verticals
Measuring the combined "effectiveness of back end machine learning models and User Interfaces" through Online Controlled experiments
Digital Marketing

Machine LearningDigital Marketing

Data Scientist

Promoted

Jul 2013 – Mar 2015 · 1 yr 8 mos

Working in R&D team. Primary job being to come up with novel machine learning algorithms.

Machine Learning

Analytical Consultant

May 2012 – Jun 2013 · 1 yr 1 mo

applications of machine learning algorithms in customer care and predictive sales. Applications of machine learning techniques for providing intuitive consumer experience.

Machine Learning