A collection of data science personal projects.
| Project name | Project motivation | Stack |
|---|---|---|
| In-depth Analysis of Online Retail Data with Power BI | To uncover hidden patterns in sales data, understand customer behaviors, and provide actionable insights for a UK-based online retail to optimize sales strategies and operations. | Power BI for dashboard creation and visual analytics, Python with Pandas for data cleaning and preprocessing, Python libraries including Seaborn for advanced data analysis and visualization. |
| Analyzing Customer Churn in a Subscription-based Service | To understand and mitigate customer churn by leveraging data-driven insights, ensuring customer retention and optimizing business strategies. | Python with libraries including Pandas, Matplotlib, Seaborn, Scikit-learn, and Graphviz for data analysis, visualization, and predictive modeling. |
| Predicting Diabetes with Neural Network Insights | Exploring the potential of neural networks in predicting diabetes outcomes to enhance medical decision-making and patient care. | Python with libraries including Pandas, NumPy, Matplotlib, Seaborn, Keras, and Scikit-learn for data processing, visualization, statistical analysis, and model development. |