Hello! I'm Nima Dindar Safa, a passionate data science student and programmer with a strong background in physics and artificial intelligence. I am currently pursuing my M.Sc. in Data Science and AI at Universität des Saarlandes, where I focus on neural network theory, machine learning, and statistical analysis.

My professional journey has included roles such as a Business Data Analyst, where I honed my skills in data visualization and trend analysis, and as a Programmer applying image processing for machine learning. My work extends to academia as a teaching assistant, sharing knowledge in Python programming.

Beyond structured work, I am deeply engaged in research, with publications exploring deep learning applications in structural collapse prediction and offshore platform damage evaluation. Personal projects, such as a Telegram bot for market data and portfolio creation, reflect my enthusiasm for blending data, automation, and user-centric solutions.

Technical proficiencies include Python, TensorFlow, Power BI, and more. I'm always eager to collaborate, innovate, and turn data-driven insights into impactful solutions.

Connect with me to explore my repositories or discuss exciting new projects!

Skills

• Python
• PyTorch - Tensorflow
• Numpy - SciPy - Sklearn - MatplotLib
• OpenCV
• R
• C++
• Power BI - Excel
• MS Azure
• Git
• SQL Server - MongoDB

Projects

• Telgram bot for Receiving financial data of markets and creating portfolio
• Implementation of a Neural Network Analysis in Python to Detect Bias in the Training Phase
• Simulation of the chaotic behavior of a magnetic pendulum in the magnetic field of an arbitrary number of magnets