Kedar Dabhadkar
Data Scientist
Portland, Oregon, 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 (27)
plotly-dash10
python10
python-functions10
data-visualization10
flask10
data-science9
machine-learning9
deep-learning9
chatbot9
data-analysis9
journal8
scipy7
open-access7
creative-commons6
llm6
Programming languages (3)
Github contributions (5)
dkedar7/fast_dash
Jan 2022 - Aug 2022
Turn your Python functions into interactive apps! Fast Dash is an innovative way to deploy your Python code as interactive web apps with minimal changes.
Contributions:171 commits, 133 PRs, 480 pushes in 6 months
pythonpython-functionsflaskplotly-dashwebdevelopment
dkedar7/neural-style-transfer
Jun 2021 - Jul 2021
Dash and Flask-based web app that allows users to upload or click a photo and applies one from a choice of many different well-known styles.
Contributions:37 commits, 14 PRs, 39 pushes in 1 month
flask
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