About Me
I hold a PhD in Physics with a focus on computational physics, quantum mechanics, electromagnetism, and high-energy physics. Over the years, I have gained practical experience in applying scientific concepts to real-world challenges and have developed a strong foundation in these fields through both research and hands-on work. As the founder of Uygur Elit Education, I have been involved in initiatives aimed at enhancing education and training in scientific disciplines, helping students develop key skills for various technical careers. I am proficient in several programming languages, including C++, Python, PHP, and MySQL, and have experience using simulation tools such as Geant4 and SimScale for physics modeling. My background also includes applying machine learning techniques to solve problems in areas such as radiation physics and predictive analytics. I approach problems with a focus on detail, thoughtful analysis, and collaboration. Throughout my career, I have worked with multidisciplinary teams to develop simulations and solutions that address both academic and industrial challenges. My goal is always to contribute to meaningful projects and find practical, effective solutions in computational physics, data science, and applied technology.
Skills
| Programming Languages | C/C++ Python JavaScript PHP HTML |
|---|---|
| Data Bases | MySQL PostgreSQL SQLite |
| Simulation | Geant4 SimFlow |
| Machine Learning & Deep Learning | Scikit-learn Keras TensorFlow |
| Data Analysis | EDA Regression Analysis Data Visualization |
| Tools | Jupyter Notebook Google Colab DBeaver Tableau VS Code |
| Cloud Computing | Experience with various cloud platforms |
Work Experiences
2020-2024: Data Scientist Kamlancu Nuclear Industry and Trade Inc.
Data Analysis & Modeling: Applied computational physics methods to process and analyze large datasets from nuclear operations utilizing Python for data manipulation and modeling.
Predictive Modeling & AI Techniques: Developed machine learning models to identify trends and enhance decision-making related to radiation safety and facility management. Implemented AI-driven approaches such as pattern recognition and anomaly detection.
Collaboration & Reporting: Worked closely with interdisciplinary teams to transform data insights into actionable visualizations aiding in improved safety protocols and operational efficiency through decision support systems.
2015-2019: Computational Physicist IRADETS (Innovative Radiation Detector Systems)
Simulation Development: Used C++ and Geant4 to design and implement radiation detection system simulations focusing on improving imaging accuracy and system performance.
Cloud Computing: Applied cloud computing resources to manage and process large volumes of simulation data ensuring efficient data storage and retrieval.
Collaboration & Reporting: Worked with cross-functional teams to analyze simulation results and generate technical reports supporting system improvements and development.
Projects
Development of an Innovative Radiation Detector for Real-Time Precise 3D Dose Profile (GZ3DOZ) (2015-2017)
Focused on the development of an innovative radiation detector for real-time 3D dose profiling.
Development of a Cosmic Muon-Based Imaging System Prototype (MUTOMOPRO) (2015-2018)
Worked on creating a prototype imaging system based on cosmic muons for non-invasive imaging.
Development of a High-Efficiency Innovative Wind Turbine Prototype (2017)
Focused on the development of an efficient wind turbine prototype.
Development of a New Tomography Algorithm for Cosmic Muons
Worked on developing a new tomography algorithm for improved cosmic muon detection.
Numerical Simulation Development for Radiation Physics Applications (2021-2024)
Focused on numerical simulations for radiation physics processing large datasets for performance optimization.