I will build a custom predictive machine learning model
About this Gig
Hi! I build custom predictive models that turn business data into reliable predictions and actionable insights.
I can help with classification, regression, recommendation systems, anomaly detection, and time-series forecasting.
WHAT YOU GET
Data cleaning and preprocessing
Feature engineering and selection
Custom model development and validation
Performance metrics and insights report
Clean Python prediction code
Optional API or MLOps-ready package
WHY CLIENTS CHOOSE ME
5+ years of machine learning experience
Reliable, practical solutions
Professional testing and validation
Clean and maintainable code
Production-oriented approach
MY APPROACH
I build practical solutions based on your data, goals, and success criteria. I compare suitable models, use appropriate metrics, and validate results to reduce overfitting and data leakage.
When needed, I can include experiment tracking, model versioning, reproducible pipelines, API or Docker packaging, and performance monitoring.
Send me your requirements and a data sample before ordering.
Programming language:
Python
Frameworks:
Scikit-learn
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PyTorch
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Panda
Tools:
Jupyter Notebook
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TensorFlow
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MLflow
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Other
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of data can you work with?
I primarily work with structured tabular data provided as CSV, Excel, Parquet, or an agreed database export. The dataset should contain historical examples and a clearly defined prediction target.
Which machine learning tools do you use?
Depending on the project, I can use Python tools such as pandas, scikit-learn, XGBoost, LightGBM, CatBoost, FastAPI, and Docker. The final technology stack will be selected according to your data and deployment needs.
Can you guarantee a specific accuracy?
No responsible data scientist can guarantee a performance level before evaluating the data. I will define suitable metrics, build a baseline, and report the model’s measured performance transparently.
