Shanthan K.

AI Researcher

Hyderabad, Telangana, India4 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

8+ years of experience in applied machine learning.
Developed systems saving $7.1 million annually.
Recipient of national and international awards.

Stackforce AI infers this person is a Machine Learning Expert in E-commerce with a focus on optimization and analytics.

Contact

Skills

Core Skills

Machine LearningOptimizationReinforcement LearningTeachingData Engineering

Other Skills

Ab InitioAnalytical SkillsArtificial Intelligence (AI)Aspect ExtractionAutomationCControl-MData AnalyticsData MiningData ScienceData VisualizationDeep LearningExtractGurobiHeuristics

About

Applied Machine Learning Scientist with 8+ years of model development experience, holds a PhD in Applied ML/DS. Building prescriptive, machine learning, deep learning, reinforcement learning, and NLP models in an applied research setting. Developed internal (Demand Prediction, RL-Package Optimization) and customer-facing (Feed Ranking, Price Optimization, Pricing Error Detection, Delivery Optimization) systems for the e-commerce industry (Flipkart), resulting in savings of $7.1 MM per annum. Recipient of several national and international awards (INFORMS IAAA-2022). Published in top applied Machine Learning and Operations Journals, Conferences, and Practice Magazines. Filed a patent as the first inventor.

Experience

4 yrs 8 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 10 mos

Current Experience

Flipkart

2 roles

Data Scientist - III

Aug 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

Research Fellow | IIMA & Flipkart

Sep 2018 – May 2023 · 4 yrs 8 mos · India · Hybrid

I worked as a research fellow at Flipkart while completing my PhD at IIM Ahmedabad. I solved Flipkart's problems as a part of my Doctoral Dissertation.

Machine LearningPythonDeep LearningOptimizationReinforcement Learning

Xlri jamshedpur

Machine Learning Researcher

May 2023 – Aug 2024 · 1 yr 3 mos · Jamshedpur, Jharkhand, India · On-site

Packaging Design | with Flipkart
Developed a three-stage framework to generate optimal packaging box assortments using Unsupervised Learning (k-means), Reinforcement Learning (PPO, DQN), and Tree-Search. (Patent Filed)
Deployed across 28 fulfillment centers in India. Improved space efficiency by 12%. Reduced linehaul mileage by 11 million km. Reduced CO2 emissions by 1960 metric tons. Resulted in net savings of 7.1 million USD per year
Last-Mile Delivery | with Flipkart
Developed a two-stage prescriptive analytics framework for reducing delivery failures in the last mile. Employed supervised learning (XGBoost, Random Forests) and Vehicle Routing Optimization (Metaheuristics)
Reduced last-mile delivery costs by 8.5% on average
Review Feed Ranking
Developed a multi-model review subset selection framework for recommending helpful reviews to customers. Built a rule-based aspect extraction module, a sentiment classifier (XGBoost, LSTM, DistilBERT/BERT), and a question-and-answer system (Sentence Transformers) to operationalize the framework. (under revision)
Preferred by more than 61% of users on the prolific platform compared to two other approaches.

Data VisualizationAnalytical SkillsMachine LearningProblem SolvingHeuristicsScientific Papers+8

Indian institute of management ahmedabad

Associate Researcher

Mar 2023 – May 2023 · 2 mos · Ahmedabad, Gujarat, India · Hybrid

I worked on reinforcement learning applications in optimization.

Data VisualizationAnalytical SkillsMachine LearningProblem SolvingHeuristicsReinforcement Learning+15

Indian institute of management udaipur

Visiting Professor

Jan 2023 – Feb 2023 · 1 mo · Udaipur, Rajasthan, India · On-site

I was the instructor for the course on spreadsheet modeling (SSM). The course primarily focused on developing Microsoft Excel and VBA (Visual Basic for Applications) skills.

Public SpeakingTeachingDeep LearningPresentation SkillsMicrosoft Excel

Tata consultancy services

Data Engineer

Jul 2016 – Feb 2018 · 1 yr 7 mos · Hyderabad Area, India

Client/Account: JPMorgan Chase & Co.
My role involved in developing Data Pipelines, bash and sql scripts to move data across different Storage systems in the Organisation.
Tech Stack: Informatica PowerCenter, Bash, Oracle DB, Control-M scheduler.
OS: Red Hat Enterprise Linux, IBM-AIX (Unix)

SQLUnixExtractTransformLoad (ETL)Data Engineering