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Fiverr Pro
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$
USD
I will predict customer churn and deliver retention insights
Certified Data Scientist with skills in Python Excel SQL and ML
Hi, I'm Reda El Gadida, a certified data scientist from Morocco with 15 months of intensive ALX training.
I specialize in data cleaning, analysis, and machine learning using Excel, SQL, and Python in...
Niveau 2
Répond à des critères de performance élevés et a fait ses preuves en matière de satisfaction clients.
À propos de ce service
Losing customers?
I help businesses predict churn and uncover the reasons behind it using advanced machine learning models.
With clear metrics and actionable insights, youll know who is at risk and why they leave so you can keep more customers.
What I deliver:
- Churn prediction models (Logistic Regression, Random Forest, XGBoost)
- Evaluation metrics (Accuracy, Precision, Recall, ROC-AUC)
- Visual insights (confusion matrix, feature importance, customer profiles)
- Actionable retention recommendations
- Clean Jupyter Notebook + churn dataset report
Why work with me:
- Certified Data Scientist (ALX, 3+ years experience)
- Portfolio project: Customer Churn Prediction (ROC-AUC 0.74)
- Business-focused results, not just code
- Clear communication + reliable delivery
Dont just see who leaves discover why they leave and how to keep them.
Note on Fiverr package fields:
Fiverrs package editor uses survey terminology.
In this gig:
- Survey questions = features/variables in your dataset (e.g., tenure, contract type, charges, engagement metrics)
- Respondents analyzed = rows/customers (each unit = 1,000)
Mon portfolio
FAQ
What kind of data do I need to provide?
A dataset in Excel, CSV, or Google Sheets format with historical customer information. Ideally, it should include a churn indicator (Yes/No or 1/0) and features such as tenure, contract type, monthly charges, usage patterns, or demographics.
How accurate will the churn prediction be?
Accuracy depends on the quality and size of your dataset. I provide evaluation metrics (Accuracy, Precision, Recall, ROC-AUC) so you can see exactly how well the model performs.
What’s the difference between your packages?
Basic → 1 model, churn prediction, confusion matrix. Standard → Multiple models compared + feature importance insights. Premium → Full churn pipeline, advanced models with tuning, customer segmentation, and business recommendations.
Which tools do you use?
I use Python (Logistic Regression, Random Forest, XGBoost) in Jupyter Notebook/Google Colab. Results are delivered as predictions, evaluation metrics, and charts.
Can you analyze very large customer datasets?
Yes, for datasets beyond Fiverr’s listed limits, please contact me first. I can handle larger data and provide a custom offer based on your needs.
Is my customer data safe?
Absolutely. Your data is treated as confidential, used only for your project, and deleted after delivery. I can also sign an NDA if required.
