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🔒 Python Website Vulnerability Scanner
A security‑focused project entirely built in Python to detect common web vulnerabilities such as SQL Injection, XSS, CSRF, and insecure headers. The tool automates scanning workflows and generates detailed reports for developers.
Stack: Python (Requests, BeautifulSoup, Regex, AsyncIO).
Goal: Provide a lightweight, script‑based solution for ethical hacking practice and vulnerability assessment.
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East Africa Mobile Money Performance Analysis Dashboard
Prepared by Intersect Analytics | Power BI, Data Analytics & Business Intelligence
Mobile money continues to reshape financial inclusion, digital payments, and economic activity across East Africa. To evaluate the performance of the region's leading operators, Intersect Analytics developed an executive-level Power BI dashboard analyzing transaction activity, user adoption, market share, and growth trends across key markets.
Key Findings
M-Pesa Maintains Regional Leadership
M-Pesa remains the dominant mobile money platform, leading in transaction volumes, active users, and market penetration. Its extensive ecosystem continues to strengthen its competitive position across the region.
Airtel Money Continues to Gain Momentum
Airtel Money has demonstrated strong growth, driven by increasing customer adoption, expanding service offerings, and rising transaction activity across multiple markets.
Digital Financial Services Are Experiencing Sustained Growth
The continued increase in mobile money usage highlights the growing importance of digital financial services in facilitating payments, commerce, savings, remittances, and financial accessibility.
East Africa Remains a High-Growth Market
Kenya, Uganda, Tanzania, Rwanda, and Ethiopia continue to present significant opportunities for financial institutions, fintech companies, investors, and businesses operating within the digital payments ecosystem.
Development Approach
Data was collected from industry publications, operator reports, and financial inclusion research.
Python was utilized for data extraction, cleaning, validation, and preparation using:
• Pandas
• NumPy
• Requests
• BeautifulSoup
• OpenPyXL
The final solution was developed in Power BI using Power Query, Data Modeling, DAX, and interactive visualizations to deliver clear, actionable insights for decision-makers.
Our Services
📊 Power BI Dashboards & Business Intelligence
📈 Financial Analysis & Performance Reporting
🐍 Data Scraping, Cleaning & Preparation
⚙️ Excel & Google Sheets Automation
🗄️ SQL & Database Analytics
🔄 Business Process Automation
Why Organizations Choose Intersect Analytics
We help organizations transform complex data into meaningful business intelligence by combining analytics, automation, and reporting expertise. Our solutions are designed to reduce manual effort, improve operational efficiency, accelerate decision-making, and provide the visibility required to support sustainable growth.
INTERSECT ANALYTICS
Power BI | Business Intelligence | Data Analytics | Automation | Financial Analysis
Decisions Backed by Data. Growth Driven by Insight.
📞 +254 723 632 207
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