I will build a machine learning model in python
Data Science Engineer: Finance, Stats and Teaching
About this Gig
Have a dataset and need a reliable prediction modelnot just a notebook full of code?
I will build a clean, reproducible machine learning solution in Python for classification, churn prediction, anomaly detection, clustering, or predictive analysis.
What I can deliver:
- Data cleaning and preprocessing
- Exploratory analysis and feature engineering
- Scikit-learn, XGBoost or LightGBM models
- Model comparison, validation and tuning
- Clear evaluation metrics and visualizations
- Clean Python/Jupyter source code
- Explanation of results and recommendations
I work mainly with structured/tabular data such as CSV and Excel files. I focus on correct validation and useful results rather than unrealistic accuracy promises.
Please contact me before ordering with your dataset/sample, target variable, and business or project objective. Deep learning, cloud deployment, and API integration are not included unless agreed separately.
Lets turn your data into a model you can understand and use.
Programming language:
Python
Frameworks:
Scikit-learn
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Panda
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Other
Tools:
Jupyter Notebook
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Excel
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Colab

