I will build machine learning models for genomic and clinical data using python
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Hello,
I combine a biochemistry/molecular biology background with machine learning skills to help researchers and health-focused teams extract predictive insight from biological and clinical datasets.
What I can help you with:
- Classification and prediction models for clinical/genomic datasets
- Feature selection for biological data
- Model evaluation and validation
- Data preprocessing for ML-ready datasets
Who this is for:
- Research teams working with clinical or omics data
- Biotech/health-tech projects needing predictive modeling
- Labs wanting to explore ML applications on existing datasets
What you'll receive:
- Trained model with performance metrics
- Python code (scikit-learn based)
- Plain-language explanation of results
- Recommendations for further work
Message me with your dataset type and research question before ordering model choice depends heavily on your specific data.
Programming language:
Python
•
R
•
SQL
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
Excel
•
Stata
•
Colab
•
RStudio
•
Other
My Portfolio
FAQ
What kind of biological data can you work with?
Clinical datasets, gene expression data, and other structured biological/health data.
Which ML methods do you use?
Primarily scikit learn based models (classification, regression, clustering); I'll recommend the right one for your data.
Is my dataset kept confidential?
Yes, always.
