I was motivated to switch from a banking career to data science by a strong interest in analytics and strategic problem-solving. I enjoy transforming complicated data into useful business insights.
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User Retention Analysis on Online Retail Data
Analyzing user retention patterns to enhance customer loyalty.
⭐ Stars: 0 | 🗂 Forks: 0 | 🐍 Language: Jupyter Notebook -
User-Segmentation_Online-Retail-Data
To perform user segmentation using online retail data by applying the RFM (Recency, Frequency, Monetary) technique.
⭐ Stars: 0 | 🗂 Forks: 0 | 🐍 Language: Jupyter Notebook -
Market Basket Analysis on Online Retail Data
Discovering product association patterns for marketing strategies.
⭐ Stars: 0 | 🗂 Forks: 0 | 🐍 Language: Jupyter Notebook -
Clustering_Ecommerce-Customer-Behavior-Dataset.ipynb
To identify e-commerce customer behavior patterns through clustering (unsupervised learning).
⭐ Stars: 0 | 🗂 Forks: 0 | 🐍 Language: Google Colab Notebook -
Prediction-Model_Credit-card-customer
To predict customers who are likely to experience credit card payment delays in order to determine appropriate strategies for addressing future conditions.
⭐ Stars: 0 | 🗂 Forks: 0 | 🐍 Language: Jupyter Notebook
Public Repositories: 11
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- Pushed to User Retention Analysis on Dec 29, 2025
- Pushed to Clustering Ecommerce Customer Behavior Dataset on Dec 28, 2025
- Pushed to Market Basket Analysis on Feb 11, 2025
- Pushed to Customer Segmentation on Mar 7, 2025
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