R. D'Andrea
data_engineer.profile
Available
Curriculum Vitae

Data / AI Engineer with a business mindset

I combine practical retail leadership experience with data science, machine learning and clear communication. My focus is on understandable data products, robust pipelines and solutions that are useful in daily business.

💼
4+
Positions
🎓
2
Degrees
🤖
AI
Specialization
📍
OS
Osnabrück, Germany
📊 Work Experience
work_experience.json
Apr 2026 – Present
Lidl
Deputy Store Manager
Supporting store operations, team coordination and day-to-day retail leadership with a focus on structure, reliability and customer-facing execution.
2025 – Mar 2026
Toom Baumarkt
Team Sales
Customer consulting and sales in a home improvement retail environment, including teamwork, product knowledge and customer-oriented service.
Aug 2024 – Feb 2025
Hochschule Osnabrück
AI Engineer (Student Position)
Developed and evaluated AI models in an academic research context, working with machine learning pipelines and data preparation workflows.
2020 – 2021
Deichmann
Bachelor Professional of Trade and Commerce
Training in retail and wholesale commerce, including sales, inventory processes, commercial fundamentals and customer communication.
🗃️ Quick Overview — Table
SELECT * FROM experience
# Company Position Period Area
01 Lidl Deputy Store Manager Apr 2026 – Present Retail Leadership
02 Toom Baumarkt Team Sales 2025 – Mar 2026 Retail
03 Hochschule Osnabrück AI Engineer Aug 2024 – Feb 2025 AI / Research
04 Deichmann Bachelor Prof. Trade 2020 – 2021 Retail
🎓 Education
education.csv
Applied Economics
Hochschule Osnabrück
2021 – 2025
Bachelor Professional of Trade and Commerce
Deichmann / IHK
2020 – 2021
⚙️ Tech Stack
stack.yaml
Python TensorFlow PyTorch Pandas NumPy SQL PostgreSQL Apache Spark Airflow Docker Git scikit-learn REST APIs Linux Jupyter AWS
📝 About Me
README.md
I am an aspiring Data / AI Engineer based in Osnabrück with a strong interest in machine learning, data processing and practical business workflows. Through my academic work at Hochschule Osnabrück, I gained hands-on experience building AI pipelines and preparing data for model-driven systems. My commercial background and current retail leadership experience help me understand real operational processes that can be improved with clear, useful data solutions.

I am looking for opportunities where I can apply Python, SQL and machine learning to turn data into measurable business value.