I will do data science and machine learning project
About this Gig
Struggling to make sense of your data? Lets turn your raw numbers into a clear story.
I am a Data Scientist specializing in Machine Learning and Predictive Analytics using Python. Whether you need to predict customer behavior, segment your audience, or identify key business drivers, I provide clean, high-quality analysis delivered in organized Jupyter Notebooks.
What I Offer:
- Predictive Analysis: Forecasting future trends based on historical data.
- Classification: Building models to categorize data (Binary or Multi-class).
- Churn Prediction: Identifying which customers are likely to leave and why.
- Clustering & Segmentation: Finding hidden patterns and groupings in your data.
- Decision Trees: Visualizing logic-based decision making for full transparency.
Why Choose Me?
- Code Clarity: My notebooks are well-documented and easy to follow.
- Business Focused: I don't just give you code; I give you answers.
- Secure & Professional: I prioritize data privacy and clear communication.
Please contact me before placing an order to discuss your dataset and goals!
Programming language:
Python
Frameworks:
Scikit-learn
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Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
My Portfolio
FAQ
What file formats do I need to provide?
I typically work with CSV, Excel (XLSX), or JSON files. If your data is in a SQL database, we can discuss a custom connection or a data export.
Will I get the source code?
Yes! You will receive a fully functional .ipynb (Jupyter Notebook) containing all the Python code, visualizations, and written explanations of the findings.
Do you handle data cleaning?
Every project includes basic data cleaning. However, if your dataset is extremely "messy" (lots of missing values or inconsistent formatting), we can add a custom data-prep phase to the order.
Can you explain the results to me?
Absolutely. I use Markdown cells within the Jupyter Notebook to explain the logic of the code and the meaning of the results so that non-technical stakeholders can understand the value.
What libraries do you use?
My standard stack includes Pandas and NumPy for data handling, Matplotlib and Seaborn for visualization, and Scikit-Learn for Machine Learning.

