Mustafa Kurçeren
Data Analytics · ML Forecasting · Process Automation
I turn data into clear, working systems. Engineering student. I offer DGS Quantitative lessons and coaching.
I moved from an associate degree to a bachelor’s program through Turkey’s DGS transfer exam, and I’m currently completing my engineering degree. I completed my associate degree in Computer Programming at Ankara Medipol University as the top student of my class.
I have a solid academic background in physics and mathematics. That path taught me two things: how to manage time, and how to break a hard problem into pieces and solve it patiently.
I measure first, question second, and build last. My work started with Python, SQL and machine learning, and continues through desktop apps, automation tools and experiments with locally-run AI.
In the coming period I want to deepen my knowledge of data and AI, and to teach math to DGS students in a clear and practical way.
Skills
Data & ML
- Python
- pandas
- scikit-learn
- LightGBM
- Time series forecasting
AI
- Local LLMs (Ollama)
- Whisper
- Gemini API
- LLM-based classification and summarisation
Application Development
- PySide6 desktop apps
- FastAPI
- Packaging with PyInstaller
Languages
- Turkish (native)
- English (B1)
My Approach
- 01
Measure first.
A decision should rest on data, not assumptions. When needed, I collect the data from the live system myself.
- 02
Critical analysis.
Instead of confirming the expected result, I look for where we might be wrong, and work with scenarios and stress tests.
- 03
Build what gets used.
If a model has not become a tool someone uses every day, it is not finished.
- 04
Keep data in-house.
Wherever possible I run AI locally and do not send sensitive data outside.
Education
- Ankara Medipol UniversityComputer Programming (Associate Degree)Graduate · Ranked 1st in class
- Ankara Medipol UniversityComputer Engineering Bachelor's2nd Year