I will build, train and deploy machine learning models using python
Turning Ideas into Impact Professional IT Solutions, Data Analysis
About this Gig
Need a machine learning model built the right way, not just a notebook that "kind of works"?
I build production-ready ML solutions using Python, PyTorch, TensorFlow, and Scikit-learn from data preprocessing to a trained, evaluated, and deployable model.
What you get:
- Data preprocessing and feature engineering
- Model selection, training, and hyperparameter tuning
- Evaluation with proper metrics (accuracy, AUROC, F1, etc.)
- Clean, documented, reproducible code
- Deployment-ready model (API, script, or notebook your choice)
Experience with: classification, regression, time-series, anomaly detection, and deep learning architectures (CNNs, ResNet, etc.)
Send me your dataset or problem description, and I'll tell you exactly how I'd approach it before you order
Programming language:
Python
•
MATLAB
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Colab
Frameworks:
Scikit-learn
•
Google ML Kit
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Keras
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PyTorch
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
MLflow
My Portfolio
FAQ
I'm not sure what type of model I need. Can you help me decide?
Yes, message me with your problem and a sample of your data—I'll recommend the right approach before you order.
Do you provide the code, or just the trained model?
You get full, documented Python code plus the trained model file (and a deployment-ready version on Premium).
What if my dataset is small or messy?
I handle preprocessing and cleaning as part of the process. Small datasets may limit accuracy—I'll be upfront about what's realistically achievable
Do you work with deep learning (CNNs, etc.) or only classical ML?
Both. Classical ML (regression, classification, trees) is covered in all tiers; deep learning architectures are available in the Premium package.
