mohitcek Goto Github PK

🚀 ABOUT ME

Passionate about Data Science and Uncertainty Quantification | Ph.D. Graduate from Johns Hopkins University

Welcome to my GitHub profile! I'm a highly motivated Ph.D. graduate from Johns Hopkins University, specializing in Active Machine Learning. My research journey focused on developing an active learning (ML) algorithm for global sensitivity analysis in large-scale wind tunnel experiments. This involved integrating wind tunnel experiments within an automated active learning framework, streamlining processes, minimizing human error, and significantly enhancing the rate of discovery.

🔍 Key Highlights:

• Active Learning Maven: Pioneered the application of active learning algorithms to large-scale wind tunnel experiments, leveraging machine learning for global sensitivity analysis.
• Python and Git Expertise: Contributed significantly to the Python library 'UQpy' as a developer, accumulating six years of hands-on experience in Python and Git.
• Master's in Applied Mathematics and Statistics: My academic journey includes a master's degree that equipped me with a solid foundation in ML algorithms, such as SVM, random forests, and more. I specialize in Probability Theory, which forms the core of my research work in Uncertainty Quantification.

📈 Technical Proficiency:

Gaussian Process Regression: Adept in utilizing Gaussian process regression for implementing active learning algorithms, accumulating four years of hands-on experience.

🎓 Education:

• Ph.D. in Civil Engineering, Johns Hopkins University
• Master's in Applied Mathematics and Statistics, Johns Hopkins University
• B.Tech + M.Tech in Civil Engineering, IIT Kanpur

I am enthusiastic about exploring new opportunities, collaborating on innovative projects, and contributing to the dynamic world of data science and machine learning.