Kedar Dabhadkar
Data Scientist
City of Albany, New York, United States
Summary
👤
Senior🎓
Top SchoolKedar Dabhadkar is a data scientist with a decade of experience building statistical and machine-learning solutions across industrial and utility domains, currently applying equipment intelligence at Lam Research. A Carnegie Mellon MS graduate, he has led R&D teams to deliver predictive analytics for water quality at KETOS and developed an LLM-based knowledge retrieval tool for the Smart Water Networks Forum. His background spans time-series and hybrid modeling (ARIMAX, NARX, ALAMO, RNNs) and productionizing full-stack data systems for customers such as Microsoft and Air Liquide. Known for bridging research and product, he combines rigorous statistical modeling with practical deployment experience in high-stakes environments like semiconductor equipment and municipal water networks.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Chemical Engineering, Bachelor of Science - BS Chemical Engineering at Institute Of Chemical TechnologyMaster of Science, Master of Science at Carnegie Mellon University
Hindi, English, Marathi
Github Skills (33)
plotly-dash10
flask10
data-science9
python9
machine-learning9
prototypes9
deep-learning9
data-analysis9
data-visualization9
scikit-learn8
mlops7
photo5
styles5
web-application4
tabular3
Programming languages (2)
Github contributions (5)
dkedar7/Web-Apps
Apr 2020 - Dec 2023
Contributions:22 PRs, 60 pushes, 2 branches in 3 years 8 months
dkedar7/dkedar7.github.io
Jun 2018 - Feb 2022
Contributions:68 pushes in 3 years 9 months
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