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$
USD
I will predict customer churn and help you retain clients with ml
Data Scientist
Experienced data analyst and data science specialist. I use Python, pandas, sklearn, and visualization tools to analyze data, build models, and generate insights tailored to your goals. Let’s work on...
About this Gig
Structure your description to immediately address the client's pain point, introduce your solution with proof, and tell them exactly what they get.
New Description Template (Copy, paste, and fill in the brackets):
Are you losing valuable customers without knowing why?
Customer churn is a hidden revenue drain. Reacting after a client leaves is too late. You need a system that predicts churn early, so you can take action to keep them.
I specialize in building exactly that. I recently completed a churn prediction project for a financial sector client, and I can bring that same expertise to your business.
My Proven Results (from a real project):
- 99.5% Accuracy in identifying churn risk.
- 97.66% Recall meaning I successfully flag over 97% of customers who would have actually churned (crucial for retention).
- Built using advanced XGBoost and Random Forest models, with a clear focus on minimizing false negatives (missing at-risk clients).
You can view the full project details on my GitHub portfolio: [Link to your GitHub project]
What I will deliver for your project:
- Data Cleaning & Preprocessing: I handle messy, real-world data.
- Exploratory Data Analysis (EDA): I uncover hidden patterns in
Frameworks:
Scikit-learn
•
Panda
Data type:
Text
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
Other Data Science & ML Services I Offer
FAQ
What do you need to start the project?
Please provide your project requirements, dataset (if available), expected outcome, and any specific instructions or references.
Can you work with my own dataset?
Yes. I can work with your dataset or help you find a suitable public dataset if needed.
Which algorithms do you use?
I select the most appropriate algorithm based on your project, including Random Forest, XGBoost, Logistic Regression, SVM, Naive Bayes, Decision Trees, Neural Networks, and more.
Do you provide revisions?
Yes. Revisions are included according to the selected package.
