Tejash Shah

Senior Applied Machine Learning Scientist at Grainger

Chicago, Illinois, United States
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Summary

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Tejash Shah is a Senior Applied Machine Learning Scientist with 8 years of experience building end-to-end NLP and ML solutions that move projects from prototype to production at Grainger and J.D. Power. He has deep expertise in semantic product matching, extreme multi-label text classification, and large-scale ETL (400M+ records) using Spark/Presto and modern cloud data warehouses. Comfortable across the stack, he deploys models with Flask, Docker, Kubernetes and automates CI/CD with GitHub Actions while monitoring production with Datadog and Splunk. His work has materially reduced manual labeling and improved recall in NLP pipelines, and he pairs model interpretability tools (SHAP, PDP, ELI5) with executive-facing dashboards to drive business decisions. Holding an M.S. in Electrical Engineering from San Jose State, he combines hands-on engineering with a continuous-learning mindset and a knack for turning messy, large-scale data into practical, revenue-driving products.
code8 years of coding experience
job4 years of employment as a software developer
bookSan José State University
bookBachelor’s Degree, Electronics and telecommunication Engineering, Bachelor’s Degree, Electronics and telecommunication Engineering at IET - DAVV
languagesEnglish, Hindi, Gujarati
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Github Skills (50)

feature-extraction10
feature-selection10
feature-engineering10
classifier9
python9
machine-learning9
scikit-learn9
wordnet9
sklearn9
glove8
classification8
document-classification8
bengali8
lda8
latent-dirichlet-allocation8

Programming languages (4)

DockerfileHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:3 commits, 2 pushes, 1 branch in 6 months
Contributions:2 PRs, 11 pushes, 6 branches in 1 year 1 month
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Tejash Shah - Senior Applied Machine Learning Scientist at Grainger