Key accomplishments

  • Dynamic Pricing implementation through Multi Armed Bandit Setup for Farelock product for Flight Searches
    • Responsibilities included setting up data pipeline for features preparation, ML Modeling, Model Training and Evaluation
    • Write a microservice to serve the model through rest API written in Python using FastAPI framework.
    • Use Docker to containerize and deploy on ECS AWS Cloud.
    • Prepare and Maintain Dashboard in SQL to measure technical AB experiment metrics and talk and present results to Stakeholders
  • Recommendation Systems: Ranking list of Flights itinerary for user searches in real time
    • Recommend and Rank flight items based on user’s preferences such as airline, prices, duration, departure and arrival time etc using Machine Learning models
    • Created exhaustive set of features and experimented with tree based models as well as Neural Network models to evaluate best model fit
    • Designed and Written a Microservice to serve the Model through a Docker container on Amazon Fargate Managed cloud environment
    • Measure model performance through SQL dashboard (written in Presto/Athena queries), measure data shift while re-training model using Airflow Dags

Role 1
Machine learning engineer
Role 2
Data scientist
B2b software and services > engineering product and design
Any
Lead
India
Any
NA
Remote

Education

  • May 1 2012 - July 1 2016
    Indian Institute of Technology, Patna

    Bachelor of Technology, Computer Science

    I have passed Bachelors in Technology, in Computer Science from Indian Institute of Technology, Patna(IIT Patna) in 2016. In addition, I've completed Data Science Specialization , Deep Learning Specialization online courses from Coursera.


Experience


Expertise

Machine Learning
100
Data Science and Predictive Modeling
100
Marketing and User Analytics
100
Deep Learning using Neural Networks and Pytorch
100

Languages

English