Debraj GuhaThakurta
Staff Applied Research Scientist at ServiceNow
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolDebraj GuhaThakurta is a Staff Applied Research Scientist with 15+ years of experience applying machine learning, generative AI and NLP to product-facing problems across enterprise and consumer domains. He has led teams and R&D at ServiceNow, Expedia and Microsoft, driving model productization, A/B experimentation and cross-functional adoption of ML best practices on Azure. His background spans industrial bioinformatics and genomics research through roles at Merck, Genentech and Dendreon, giving him uncommon depth in data-driven discovery and translational modeling. He blends hands-on model development and cloud deployment experience with people leadership, having built teams, developer programs and production pipelines that scale. Notably, he contributes to practical ML samples (e.g., Azure ML data science examples) and has been recognized internally with technology awards for advancing enterprise LLM capabilities.
10 years of coding experience
17 years of employment as a software developer
Johns Hopkins University
English, Hindi
Github Skills (9)
data-wrangling10
logistic-regression10
machine-learning10
spark10
python10
data-science10
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (4)
Github contributions (5)
Azure-Samples/Azure-MachineLearning-DataScience
Apr 2016 - Apr 2018
Role in this project:
Data Scientist
Data ScientistContributions:437 commits, 3 PRs, 431 pushes in 2 years 1 month
Contributions summary:Debraj's contributions focused on the development of machine learning models using the NYC taxi trip and fare dataset. The commits involve loading data, cleaning and preparing it, and then training a logistic regression model. The code indicates that the user was working on a tip prediction model.
Azure/Azure-TDSP-ProjectTemplate
Aug 2017 - Jan 2018
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
Contributions:24 commits, 2 PRs, 23 pushes in 5 months
templatepythondocument-templatessciencedata-science
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