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$
USD
I will build predictive ml models to classify and forecast outcomes
Python Data Scientist, Machine Learning and APIs
Data Scientist
I'm a dedicated freelancer focused on data analysis and machine learning. I help clients clean, analyze, and interpret data to extract meaningful insights and build practical, data-driv...
About this Gig
I build predictive machine learning models in Python classification, churn prediction, and fraud detection using clean, evaluated, and explainable code. Every model is tested properly and tuned to the metric that actually matters for your use case, not just accuracy.
What I Offer:
- Classification models (churn, fraud, risk, customer behavior)
- Model comparison across Logistic Regression, Random Forest, and XGBoost
- Data preprocessing: cleaning, feature engineering, handling imbalanced data
- Model evaluation with accuracy, precision, recall, F1-score, and visuals
- Model explainability (SHAP) so you understand why predictions happen
- Deployment-ready Jupyter notebooks
What You'll Receive:
- A trained and evaluated model
- Clear performance metrics with visual insights
- Clean, reusable Python code
- Predictions in your preferred format (CSV/Excel)
Why Work with Me:
- Honest about tradeoffs I explain what the model can and can't do
- Fast delivery and clear communication
- Revisions until you're satisfied with the deliverable
(Message me before ordering so I can understand your data and target variable, and confirm the right approach for your project.)
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What type of data do you accept?
I work with CSV, Excel, or structured datasets.
What types of machine learning models can you build?
I can build classification and regression models using algorithms like Logistic Regression, Random Forest, and XGBoost. I'll select the most suitable approach based on your dataset and goals.
Do I need to provide a dataset?
Yes, ideally you provide your own dataset. If you don't have one, I can work with a public dataset for demonstration or testing purposes.
Will you explain the results and metrics?
Yes. I explain model performance using metrics like accuracy, precision, recall, F1-score, and confusion matrix, along with visualizations to make results easy to understand.
Can you handle large or messy datasets?
Yes. I handle data cleaning, missing values, and feature engineering to prepare messy or complex datasets before modeling.
Will I receive the Python code for the model?
Yes. I deliver clean, well-structured Python code or a Jupyter Notebook so you can reuse or extend the model later.
Can you export predictions in Excel or CSV?
Yes, predictions can be delivered in CSV or Excel format on request.
