A small introduction about myself
Currently pursuing Master's in Computer Science at Stony Brook University, New York. I completed my undergraduate studies from Indian Institute of Technology (IIT) Guwahati in 2016. Worked for 3 years at OLA Cabs, India's largest ride-share application as Business Intelligence lead of Ola Financial Services; experience in building and growing new product led businesses in various domains viz. Payments, Loyalty, Transport.
I have strong interest in product & technology, love recognizing and solving business/product problems, passionate about creating impact. Interested in working on applications at the intersection of Data Analytics, Machine Learning.
Download Printable ResumeI can say i’m quite good at
5 years professional experience
3 years professional experience
3 years professional experience
Web Design Experience
Spring Boot, jQuery, AngularJS, NodeJS
Scikit-learn, Pytorch, TensorFlow, OpenCV, Tableau
My Previous Associations
Credit Underwriting: OLA Financial Services (PostPaid, E-Payments)
• Developed credit underwriting models in Python using Random Forest and XGBoost algorithm leading to a 70%
reduction in loss rate and annual savings of about $8 million
• Developed LightGBM script in Python to determine fraud and student accounts to control VAR while underwriting
through the exclusion of risky customers based on Ola rides data and external bureau features
ML Engineer @ OLA Loyalty Team, Customer Churn Prediction (SQL, Jupyter, R, Loyalty)
• Deployed an automated decision tree module in Python for predicting churn pattern and identifying signicant drivers
of customer loyalty, one of the three team members ofrst of its kind subscription program in India: Ola Select
Analytics, Price Elasticity Model (Python, Automation, Subscription Model)
• Performed feature engineering on consumer purchase behavior and developed price elasticity model in Python, leading
protable business andnancial growth of 80%
• Evolved the Subscription product with out of the box thinking and implementation over time to improve the P&L,
increase the repeat trend by 60%, contributed to 10% of daily platform rides
What I have done in my academic career
GPA: 3.79/4
Coursework: Algorithms, Computer Vision, Machine Learning, Data Science, Programming Languages, Big Data, Probability and Statistics for Data Science
Coursework: Introduction to Computing, Pattern Recognition and Machine Learning, Computer Vision, Image Processing, Introduction to Parallel Computing, Probability and Random Processes, Multivariable Calculus, Real and Complex Number Analysis, Linear Algebras