I will build a machine learning model for prediction and classification
Machine Learning Engineer, Predictive Modeling and Data Analysis
About this Gig
Are you looking for a reliable machine learning solution for your prediction or classification problem?
I specialize in classical machine learning building clean, accurate, and well-documented models using Python. My work covers the full pipeline: data cleaning, exploratory data analysis, feature engineering, model training, and evaluation.
What I can build for you:
Classification models (churn, risk, fraud, etc.)
Regression models (price prediction, forecasting, etc.)
Data preprocessing & feature engineering
Model evaluation with clear performance metrics
Documented, production-ready code
Tools & tech I use:
Python, scikit-learn, XGBoost, Random Forest, Pandas, NumPy
Why work with me:
️ Clear communication throughout the project
️ Documented code, not just a black-box notebook
️ Honest scoping I'll tell you if your data or goal needs adjusting before I start
️ Fast turnaround without cutting corners on accuracy
I don't do deep learning or web development I focus purely on classical ML done right, so you get a model you can actually trust and explain.
Programming language:
Python
•
MLflow
Frameworks:
Scikit-learn
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PyTorch
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Panda
Tools:
Jupyter Notebook
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TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
What kind of data do you need from me?
A structured dataset (CSV or Excel) with the column you want to predict clearly identified. If you're not sure your data is ready, message me first — I'll review it.
Do you do deep learning or neural networks?
No — I specialize in classical machine learning (Random Forest, XGBoost, regression, etc.), which is faster, more interpretable, and often more accurate for structured/tabular data than deep learning.
Will I get the source code?
Yes, source code is included in Standard and Premium packages, and available as a paid add-on with Basic.
Can you deploy the model so I can use it online?
Not currently — I focus on model development and delivery as documented code/notebooks. (Update this once you've learned deployment.)
What if my project needs revisions after delivery?
"Yes, revisions are included! I offer [X] rounds of revisions within the scope of the original requirements to make sure you're fully satisfied with the model's performance and deliverables. Just let me know what needs adjusting and I'll get it sorted quickly."

