Profile:

• I'm a Berlin-based freelance data scientist. I have a background in technical physics, where I developed a keen focus on numerical modeling and statistics. My professional journey of nearly five years has been intertwined with automotive engineering, where my team and I worked extensively with data to craft digital twins of combustion engines for premier automobile manufacturers, streamlining the calibration cycle. Our task involved meticulous analysis, cleaning, and processing of vehicle and engine data, constructing and validating machine learning models, and rendering the findings visually
• Currently, I'm navigating the confluence of human interaction, data, and business, assisting clients in uncovering concealed insights within their data and formulating effective strategies to propel their organizations. My recent engagements include directing a variety of data training programs, such as those for Deutsche Telekom via Wild Code School, spanning across areas like cloud computing, machine learning, databases, and beyond. I've also taken on mentoring roles, imparting knowledge in programming, business intelligence, and data visualization

Tech Stack:

Coding

• Python
  • Numpy, Pandas
  • Scikit Learn
  • Tensorflow/Keras

Cloud Computing & Data Engineering

• Google Cloud
• AWS
• Docker
• Kubernetes
• REST APIs
• Hadoop & Spark

Data Visualization /Data Analytics 

• Power BI
• Excel
• Matplotlib & Seaborn

Other

• Git
• Bash