Short Bio
Hello! 🤗
I’m Peyman Kor, a Data Scientist with a Ph.D. in Machine Learning from the University of Stavanger. I specialize in applying advanced data science techniques and machine learning algorithms to solve real-world problems.
I have over three years of experience developing machine learning models for optimization, decision-making, and driving impactful results across industries such as energy and finance.
Projects and Expertise
- Decision Analysis and Optimization:
- Expertise in applying sequential decision-making frameworks, dynamic programming, and reinforcement learning techniques.
- Machine Learning for Financial Engineering:
- Developed Q-learning algorithms to optimize policies for American options pricing, showing the power of reinforcement learning in financial modeling.
- Bayesian Optimization and Stochastic Processes:
- I applied Bayesian methods to optimize complex processes, such as well control in oil production, achieving superior results compared to traditional algorithms.
Technical Skills
- Programming:
- Proficient in Python, R, and SQL, with a strong background in libraries such as Pandas, Scikit-learn, PyTorch, and XGBoost.
- Big Data:
- Experienced in PySpark for handling large-scale datasets.
- Cloud/DevOps:
- Familiar with cloud services like Microsoft Azure and AWS, and containerization tools like Docker.
- Version Control and Collaboration:
- Skilled in using Git and GitHub for version control and team collaboration.
I aim to leverage my academic expertise and hands-on project experience to solve industry challenges in Data Science, Machine Learning, and AI, driving innovation and delivering data-driven solutions.
Education
- Ph.D. in Computational Engineering, University of Stavanger, 2021 - Present
- MSc in Computational Modeling and Applied Mathematics (non-degree), Technical University of Denmark, 2019-2020
- MSc in Reservoir Engineering, University of Stavanger, Norway, 2017-2019
- BSc in Reservoir Engineering, Petroleum University of Technology, Iran, 2011-2016