This repository serves as a central hub linking to my individual data analytics projects.
My projects span across multiple industries, including retail, healthcare, gaming, and logistics, reflecting my versatility in working with different data sources and business challenges.
Where applicable, I have applied:
🐍 Python (Pandas, NumPy, Matplotlib)
🗃️ SQL (PostgreSQL)
📜 R (ggplot2, dplyr)
📊 Tableau (Interactive Dashboards)
📑 Excel (Data Cleaning & Reporting)
Feel free to explore the individual projects linked below, where you’ll find:
📓Jupyter Notebooks for data analysis
🗃️ SQL Queries for data extraction
📜 R Scripts for statistical modeling
📊 Tableau Dashboards for visualisation
📄 Technical Reports summarising insights
Each project README contains detailed documentation of the approach, methodology, and insights gained. Whether you’re here to explore my work, collaborate, or simply learn more about data analytics, I hope you find value in these analyses.
🔗 https://github.com/TilaniDW/2Market
Exploring customer spending behaviours, marketing effectiveness, and product performance using SQL, Excel, and Tableau.
🔗 https://github.com/TilaniDW/NHS
Analysing healthcare service efficiency and social media sentiment using Python and visualisation tools.
🔗 https://github.com/TilaniDW/TurtleGames
Applying predictive modelling, customer segmentation, and sentiment analysis to improve sales performance.
🔗 https://github.com/TilaniDW/GroupProject
Evaluating the financial and operational viability of an in-house delivery model using Python, Google API, and Tableau.
💡 If you have any questions or feedback, feel free to reach out! I am always open to collaboration and discussions about data analytics.