I will build a machine learning model for your business data
Data Analyst ML Practitioner
About this Gig
I will build a clean, well-documented machine learning model for your dataset using Python and popular libraries. My focus is on solving a clear business problem, not just training a random model.
What I can do for you
- Classification, regression, or basic clustering models
- Train/validate models with proper train-test split
- Compare algorithms and pick the best one for your data
- Explain model results in simple, non-technical language
Technologies
Python, scikit-learn, pandas, numpy, matplotlib / seaborn.
What you will receive
- Jupyter notebook with all code and comments
- Clean charts / evaluation metrics (accuracy, RMSE, etc.)
- Short summary of approach, results, and next steps
What I need from you
- Your dataset (Excel/CSV)
- Problem type (e.g. predict churn, price, loan approval)
- Any constraints or metrics you care about most
Why work with me
- Experience with classification, regression, clustering
- Clean, commented notebooks you can reuse later
- Simple explanations of your model results
- Fast communication throughout the project
Not sure if your data fits? Message me first and I will suggest the best approach before you order.
Let's build something great with your data. Msg me anytim
Programming language:
Python
•
R
•
SQL
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Colab
•
RStudio
My Portfolio
FAQ
What type of data do you need from me?
A CSV or Excel file with labeled data (for classification/regression) or unlabeled data (for clustering). The more rows the better — ideally 500+ rows.
Will you explain how the model works?
Yes. I always include a simple explanation of the model, what it predicts, and how accurate it is — no technical jargon.
Can you deploy the model as a web app?
Basic deployment (Streamlit or Flask) can be added as an extra. Message me to discuss if you need this.

