Rahul Kumar - Head of Data Science, Laytrip

Keep in touch with meI'm using Intch to connect with new people. Use this link to open chat with me via Intch app

Network Power100+ people

Roles

🔥50%

Startup Founder

✔️33%

✨33%

Business Owner

Geos

🇮🇳66%

India

🇦🇪16%

United Arab Emirates

🇨🇦16%

Canada

Work Background

Elevate AIChief AI

Nov. 2022 - Mar. 2023San Francisco Bay Area

LaytripData Science Manager

Nov. 2020United StatesFounding Data Scientist and Core team member. 1. Build the data foundation for the company, aggregating over 900 Million - 1.2 Billion rows of airfare data on BigQuery, GCP. 2. Build and Scaled Arbitrage Model, taking arbitrage profit in ticket booking. 3. Got patent for the arbitrage model 4. Predicitve Booking, Automatic Booking, Recommendation Engine

DataPulleyData Scientist

Aug. 2020 - Sep. 2020Israel1. Scrapped ~96,000 UPC products from online stores for food ingredients 2. Built Automatic Data Normalization from Different source deployed on AWS S3 bucket 3. Designed and deployed Machine Learning models for nutrient detection like Gluten-Non Gluten, GMO-NonGMO, Fat freeFat models. 4. Model precision and recall rate over ~88%

ScienceDirectPeer Reviewer IMU, EVISE

Jun. 2020 - Jul. 2020Peer Reviewer for the Machine Learning and Deep Learning papers in IMU, EVISE.

Stealth StartupLead AI Engineer

Aug. 2020 - Oct. 2020London, England, United Kingdom1. Scrapped over 3,00,000 instances of car data from gum tree, craiglist, motors.co.uk , autotrader 2. Deployed Car Valuation estimation from different attributes based on car model, mileage, brand, transmission, etc 3. Deployed Stock and revenue prediction (like peak.ai)

uzo.ioDeep Learning and Computer Vision Engineer

Jul. 2020 - Aug. 2021Prague, Czech RepublicProduct Categorization using Computer Vision and NLP 1. Handled over a 8.9Million products with over 30+ categories, 1600+ Sub Categories and 5000+ Child Categories. 2. Used transformers, Bert and Xgboost to yield over 93% for Principal Product Categorization and 85% on sub categories 3. Developed Computer Vision and NLP models for Product Image classification followed by Decision fusion 4. Deployed API with average latency ~0.7s, on AWS Lambda

Data Is GoodData Scientist I

May. 2019 - Nov. 2020IndiaFounding Data Scientist. Started with the core team of 3, build the initial course curriculum and projects and MVP. The company did fairly well from initial students from 10 to 5000 during my tenure of work.