This project was completed as part of the Quantium Data Analytics Virtual Experience Program on Forage.
Task 3 focuses on transforming analytical findings from Task 1 (Customer Analytics) and Task 2 (Experimentation & Uplift Testing) into a professional business presentation for the client.
The project follows Quantium's Pyramid Principle Framework to communicate insights, recommendations, and commercial outcomes in a concise and client-friendly manner.
The objective of this project is to:
- Analyse customer purchasing behaviour
- Identify high-value customer segments
- Summarise trial store performance
- Translate analytics into business insights
- Present actionable commercial recommendations
- Deliver a professional client presentation
QVI_transaction_data.xlsxQVI_purchase_behaviour.csvQVI_data.csv
- Python
- Pandas
- NumPy
- Matplotlib
- SciPy
- Microsoft PowerPoint
- Git & GitHub
Quantium_Task_3_Analytics_and_Commercial_Application/
│── data/
│ ├── QVI_transaction_data.xlsx
│ ├── QVI_purchase_behaviour.csv
│ └── QVI_data.csv
│
│── notebooks/
│ └── Task3_Analytics_and_Commercial_Application.ipynb
│
│── output/
│ ├── charts/
│ ├── presentation/
│ └── reports/
│
│── presentation/
│ └── Task 3 - presentation guide_BRAND.pptx
│
├── README.md
├── requirements.txt
├── LICENSE
└── .gitignore
- Mainstream – Young Singles/Couples generated the highest chip sales.
- Budget customers contributed significantly to category revenue.
- Trial Stores 77 and 88 demonstrated positive sales uplift.
- Store 86 showed comparatively lower improvement.
- Customer segmentation revealed clear opportunities for targeted marketing.
- Trial activities showed positive commercial impact in selected stores.
- Python Notebook
- PowerPoint Presentation
- PDF Report
- Business Charts
- Client Cover Email
Syed Ubedullah Basha
https://www.linkedin.com/in/syed-ubedullah-basha
GitHub
https://github.com/syed-ubedullah
This project was completed as part of the Quantium Data Analytics Virtual Experience Program on Forage.
The project demonstrates practical skills in:
- Data Analytics
- Customer Analytics
- Commercial Storytelling
- Business Presentation
- Data Visualization
- Client Reporting





