I will build, train and explain machine learning models in python
About this Gig
Are you looking for someone who doesn't just build a model,
but makes sure it actually works and delivers results you
can understand and reuse?
I am an AI researcher (M.Sc. Bioinformatics, 19/20) with a
published paper at MICAD 2026 (Springer LNEE). I build
complete ML systems from scratch for real applications.
What I can do for you:
- Data cleaning and preprocessing
- ML model building (classification, regression, clustering)
- Deep learning with PyTorch or TensorFlow
- Model evaluation (AUC, precision-recall, cross-validation)
- Explainability reports (SHAP, feature importance)
- Clean, documented Python scripts
- FastAPI backend to deploy your model
- Full pipeline from raw data to working system
Why me:
- No data leakage, no inflated metrics
- I explain what the model does, not just give a number
- Published in peer-reviewed Springer proceedings
- Fast delivery and clear communication
I have worked on healthcare AI, biomedical data, medical
imaging and signal processing. Ready for your domain too.
Message me before ordering if you have questions.
I will tell you honestly if I can help.
Programming language:
Python
•
R
•
SQL
•
Java
•
NoSQL
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
•
Other
Tools:
Jupyter Notebook
•
OpenCV
•
OpenNN
•
TensorFlow
•
RStudio
FAQ
What do you need from me to get started?
Just share your dataset (CSV, Excel, or any format), describe your problem (classification, prediction, etc.), and tell me the expected output. I will handle the rest.
Can you work with small datasets?
Yes. I have experience with very small and imbalanced datasets in medical research. I use proper techniques like cross-validation and SMOTE to get reliable results even with limited data.
Will I understand the results you deliver?
Always. Every delivery includes a clear report explaining what the model does, how it performs, and why it makes its predictions. No black boxes.

