Mrinal Gupta is a data scientist with six years of experience building and productionizing ML models across fintech, utilities, and airline domains, currently recommending ancillary products at United Airlines. He has deployed real-time GBM underwriting models at Capital One, engineered 500+ features with strong model selection rigour, and scaled pipelines using KubeFlow, Snowflake, PySpark and H2O. His work detecting gas leaks and malfunctioning meters in Southern California combined time-series feature engineering, PySpark optimizations (reducing jobs from 20h to 6h) and deployment via MLflow, proving both accuracy and operational efficiency. An active technical writer with widely read Data Science articles and a public SQL LeetCode repository demonstrating 117 MySQL solutions, he also brings strong database and optimization instincts to model-centric problems. Outside data, heโs pursuing a Private Pilot certificateโa long-standing personal goal that underscores his methodical, disciplined approach to learning and risk management.
6 years of coding experience
3 years of employment as a software developer
Nanodegree Data Science, Nanodegree Data Science at Udacity
Bachelor of Technology - BTech Mechanical & Automation Engineering, Bachelor of Technology - BTech Mechanical & Automation Engineering at Maharaja Agrasen Institute Of Technology, Delhi
Master of Science - MS Analytics , Master of Science - MS Analytics at University of Southern California
CFA L1 Finance, CFA L1 Finance at CFA Institute
10th Grade, 10th Grade at D.L D.A.V Model school
12th Grade Physics Chemistry Mathematics C++ and English, 12th Grade Physics Chemistry Mathematics C++ and English at D.L D.A.V Model School
Contains all the 117 Leetcode questions with their solutions ranging from Easy to Hard in MySQL.
Role in this project:
Back-end Developer / Database Engineer
Contributions:71 commits, 68 pushes, 1 branch in 1 month
Contributions summary:Mrinal primarily contributed to developing and maintaining SQL solutions for LeetCode challenges. Their commits focus on writing and refining SQL queries in MySQL to solve various problems, ranging from easy to hard difficulty levels. The code changes involved adding new solutions, updating existing ones, and correcting errors, demonstrating a focus on database query optimization and problem-solving within a SQL context. The user also demonstrated an understanding of SQL for different database systems.
Contributions:14 commits, 13 pushes, 1 branch in 1 month
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