I will build and optimize custom machine learning models for your data
Bioinformatics and ML Engineer RNA seq scRNA seq ATAC seq
About this Gig
Ill design and build a complete machine learning pipeline tailored to your data and objectives. Whether its classification, regression, or clustering, I ensure accurate, explainable, and production-ready results.
What I deliver:
- Data preprocessing and feature engineering
- Model creation and hyperparameter tuning
- Performance evaluation and reporting (accuracy, F1, ROC, confusion matrix, etc.)
- Clean and well-structured Python code (scikit-learn, TensorFlow, PyTorch, XGBoost)
- Clear documentation and reproducible workflow
Programming language:
Python
•
SQL
•
Colab
•
NoSQL
Frameworks:
Google ML Kit
•
SimpleCV
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
Excel
•
SimpleCV
•
Colab
FAQ
What kind of data can you work with?
I can handle structured (CSV, Excel, SQL), unstructured (text, images), and scientific datasets.
Which tools or libraries do you use?
Primarily Python with scikit-learn, TensorFlow, PyTorch, pandas, and XGBoost.
Will I get the source code and documentation?
Yes, you’ll receive fully commented code and a short guide explaining how to reproduce the results.

