Mitesh Yadav
Senior Machine Learning Engineer at Strider Technologies
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolMitesh Yadav is a Senior Machine Learning Engineer with eight years of experience building end-to-end analytical products and production ML systems across startups and enterprise settings. Based in Salt Lake City, he has delivered solutions spanning real-time streaming pipelines on AWS, knowledge-graph–driven reputation scoring with Neo4j, and deployment workflows using SageMaker and Docker. His background blends strong statistical training (Master’s in Business Analytics) with hands-on engineering—from ETL and feature engineering to model optimization and integer-programming cost reductions. Mitesh has a track record of turning unconventional data sources (smartphone metadata, web embeddings, IoT) into high-accuracy models and practical business insights, and he enjoys exploring novel use cases that bridge data science and product impact.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Thakur College Of Engineering and TechnologyBachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at University of MumbaiMaster's degree Business Analytics (Concentration in Statistics), Master's degree Business Analytics (Concentration in Statistics) at Drexel University's LeBow College of Business
English, Hindi, Marathi, Gujarati
Github Skills (68)
regression10
clustering10
classification10
genetic9
anomaly-detection9
feature-engineering9
distilbert9
random-forest9
uncertainty9
temporal9
feature-selection9
expert9
parameter-tuning9
time-series-forecasting9
machine-code9
Programming languages (3)
Github contributions (5)
miteshyadav/clustering
Sep 2017 - Jul 2018
Contributions:8 commits, 7 pushes, 1 branch in 10 months
miteshyadav/Suprvised-Machine-Learning-for-Text-Classification
Sep 2017 - May 2018
Contributions:3 pushes, 1 branch in 7 months
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