🌍 Willy Wandji — Cloud & Data Portfolio
🚀 Data Wrangling • Cloud Computing • SAP Analytics Cloud • Power BI • Python
Welcome to my professional Cloud & Data Analytics Portfolio.
This repository showcases two applied analytics projects — LaundryFlow and Ayoka Kitchen — built to demonstrate my ability to prepare, analyze, visualize, and deploy data in the Cloud.
This portfolio highlights my skills in:
- Cleaning and structuring data with Python (Pandas, NumPy)
- Building interactive dashboards using Power BI and SAP Analytics Cloud
- Integrating and storing data on Microsoft Azure Cloud
- Applying security & compliance best practices in cloud data workflows
Operational analytics for a laundry & delivery service: orders, delivery performance, and customer satisfaction.
Key achievements:
- Data wrangling – type conversion, missing-value handling, outlier cleaning
- KPIs – total revenue, average basket size, average delivery time
- Time-series visualization (weekly orders, satisfaction trends)
- Dashboards built with Power BI & SAP Analytics Cloud
Tech stack:
Python • Pandas • Matplotlib • Power BI • SAP Analytics Cloud • Azure Blob Storage
Sales and customer-insight analytics for a multicultural restaurant concept.
Key achievements:
- Sales analysis by city and dish
- Customer-satisfaction scoring & trend detection
- Business KPI computation – revenue, average order value, top dishes
- Storytelling dashboards in Power BI and SAP Analytics Cloud
Tech stack:
Python • Pandas • Power BI • SAP Analytics Cloud
The datasets and scripts can be deployed to Azure Blob Storage via the example script:
src/azure_upload.py