Shahabedin Chatraee Azizabadi

I have successfully designed and implemented 7 pipelines and automated 6 others to optimize the production and distribution of newspapers for Axel Springer in Germany. In addition, I played a key role in technical project management, providing strategic oversight and guidance in other projects within the same department.

I built 3 data pipelines from scratch that are still in use. They are foundational for analytics and machine learning in drug discovery (spin-off, fixed-term contract). The pipelines are a core feature of the product platform.

⚫ Data mining, e.g., frequency data mining, features engineering of high-dimensional datasets ⚫ Data analysis and feature optimization (e.g., Particle Swarm Optimization) ⚫ Implementation of different methods of Clustering and Classification (e.g., Hierarchical Clustering, Support Vector Machine, Matrix Factorization) and data visualizations ⚫ Fundamental statistical analysis and Hypothesis Testing (Python libraries)

I deployed Python algorithms to solve numerically mathematical equations in quantum networks. ⚫ Worked on mathematical derivations for quantum network systems, e.g., cascaded systems ⚫ Numerical computation of quantum network systems with Python (Pandas, NumPy, SciPy, Matplotlib)