I am an experienced Machine Learning Engineer with a strong focus on designing and implementing machine learning-driven solutions. Passionate about cutting-edge data technologies, my expertise spans big data platforms, deep learning, optimization techniques, and business analytics.
Currently, I work as a Machine Learning Engineer on the Video Recommendations team at Meta, where I specialize in improving exploration strategies for the interest-oriented recommendations in Facebook Reels. Previously, at Microsoft, I developed data-driven products to deliver intelligent recommendations, empowering Microsoft Partners, M365 administrators, and end-users to optimize M365 service usage.
My diverse experience includes working across various industries such as agricultural technology, pharmaceuticals, retail, e-commerce, and ride-sharing, contributing innovative solutions to complex challenges.
Meta, Bellevue, WA, USA
Machine learning engineer, Video CoreML and Ranking Foundations (FB Reels)
February 2024 - Present
- Contribute to the interest-oriented recommendation team, focusing on efficient exploration strategies to help users discover new interests and diversify their content experience.
- Tackle the challenges of integrating costly exploration processes into an already optimized recommendation system.
Microsoft, Redmond, WA, USA
Senior ML Scientist
June 2019 - January 2024
- Worked with cross-functional teams to build data product (Project Orland) for customer life cycle management for M365 Partners leading to an additive impact of around $5-7 MM in retention and 3-5 MM of upsell opportunities in FY22 and potential for $30 MM incremental revenue in FY23
- Building and deploying ML learning models for increasing engagement and driving upsell for M365 products for email and in- product messaging for SMB segment leading to an increase of 5% lift in monthly active users in core workloads
- Conducted an in-depth analysis of COVID free trials and recommended product improvements to reduce cannibalization with paid customers which led to $4-5MM/ month of COGS saving
- Collaborated with Orca Conservancy(non-profit) to build bioacoustics call recognition and alerting system for Southern resident killer whales (Orcas). This hack project won multiple Microsoft AI4Good grants, which provided $45K in Azure credits
Land O’ Lakes Inc., Shoreview, MN, USA
Senior Data Scientist
June 2017 - June 2019
- Built a machine learning based targeting strategy for finding the best operators to target out of 1.6 million operators, leading to 7x increase on sales returns from the previously used method using Python, Hive, Power BI, and Apache NiFi
- Running marketing mix models for animal feed categories to understand effectiveness of various marketing activities
- Enhancing corn yields for farmers by improving seed recommendations using customized growing condition-based similarity metrics devised by combining open-source datasets for over 2.07 million farms using Python and ArcGIS
Taxiforsure.com, Jaipur, RJ, India
Senior Business Analyst
March 2015 - May 2016
- Built a machine learning based targeting strategy for finding the best operators to target out of 1.6 million operators, leading to 7x increase on sales returns from the previously used method using Python, Hive, Power BI, and Apache NiFi
- Running marketing mix models for animal feed categories to understand effectiveness of various marketing activities
- Enhancing corn yields for farmers by improving seed recommendations using customized growing condition-based similarity metrics devised by combining open-source datasets for over 2.07 million farms using Python and ArcGIS
Snapdeal.com, New Delhi, India
Product Data Analyst
November 2014 - March 2015
- Designed supply scheme with regional head to cut down per trip cost by 50% in 3 months from INR 130 to INR 60
- Designed an active cab prediction system to balance demand and supply, reducing cab rejection from 5% to 1%
- Developed fraud detection model and automated penalty imposing system saving $300,000 annually using Hive and Python
Mu Sigma Business Solutions Pvt. Ltd, Bengaluru, India
Trainee Decision Scientist
June 2013 - October 2014
- Generated reports on mobile applications, analyzed user flow and interactions for better understanding of website traffic; delivered findings to Product Manager team to inform future enhancements to app using Adobe Omniture
- Predicted conversion rates using R based on various business parameters for better inventory and technical planning
Carlson School of Management, University of Minnesota, Minneapolis, MN, USA
Master of Science in Business Analytics | GPA: 3.98/4
May, 2017
Malaviya National Institute of Technology, Jaipur, India
Bachelor of Technology in Electrical Engineering | GPA: 8.35/10
May, 2013
Technical
Natural Language Processing Specialization, Deeplearning.ai, Coursera
Certificate
October, 2022
Triplebyte Engineering Certificate
Certificate
August, 2022
Parallel Programming with Dask in Python, DataCamp
Certificate
March, 2022
Microsoft Global Hackathon 2021 Award Winner, Microsoft
Certificate
December, 2021
AI The LinkedIn Way, LinkedIn
Certificate
December, 2020
Learning C#, LinkedIn
Certificate
July, 2019
DEV262x: Logic and Computational Thinking, EDX
Certificate
March, 2019
DevOps for Data Scientists, LinkedIn
Certificate
October, 2018
Git Essential Training, LinkedIn
Certificate
October, 2018
Natural Language Processing, HSE, Coursera
Certificate
July, 2018
Introduction to Deep Learning, HSE, Coursera
Certificate
May, 2019
Developing Data Products, John Hopkins University, Coursera
Certificate
November, 2014
Reproducible Research, John Hopkins University, Coursera
Certificate
November, 2014
Regression Models, John Hopkins University, Coursera
Certificate
October, 2014
Machine Learning, Stanford University, Coursera
Certificate
September, 2014
Practical Machine Learning, John Hopkins University, Coursera
Certificate
September, 2014
R Programming, John Hopkins University, Coursera
Certificate
September, 2014
Non - Technical
Creativity at Work: A Short Course from Seth Godin, LinkedIn
Certificate
July, 2021
Learning to Be Assertive, LinkedIn
Certificate
June, 2021
Succeeding in a New Role By Managing Up, LinkedIn
Certificate
March, 2021
Improving Your Listening Skills, LinkedIn
Certificate
November, 2020
Giving and Receiving Feedback, LinkedIn
Certificate
May, 2020
Time Management Fundamentals, LinkedIn
Certificate
April, 2020
Coaching Skills for Leaders and Managers, LinkedIn
Certificate
June, 2019
Becoming a Male Ally at Work, LinkedIn
Certificate
June, 2019
