Data Analysis Projects in Gauteng
Data Analysis Projects in Gauteng
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Usamah W Maphumulo
Should you always double down on your #1 market? š While building this Executive Revenue dashboard, the data told a different story. Instead of pouring more into the US market, we identified a massive opportunity to make countries 2-4 (India, UK, and Brazil) more competitive. The Tech Stack: ETL: Pandas (Python) Database: MySQL Viz: Power BI Moving from 5 scattered CSVs to a centralized SQL-backed dashboard allowed us to see a $9.32M revenue stream clearly for the first time.
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26
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Joshua Bell
1000 Young Voices Report
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4
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Benjamin van der Merwe
Forex Dashboard Web Application
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10
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Thabo Mailula
Customer & Marketing Insights Dashboard | Power BI Project This Power BI project analyzes customer behavior, sales performance, promotions, and product cross-sell opportunities using sample data. The dashboard provides interactive insights in four areas: KPI Scorecards ā New customers, repeat purchase rate, average basket size, and customer lifetime value (CLV). Promotion Effectiveness ā Revenue trends and comparison charts showing how discounts impact sales and profit. Product Affinity / Cross-Sell ā Heatmaps reveal commonly purchased product combinations. Customer Retention & Cohorts ā Tracks returning customers and retention patterns.
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12
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Xolani Mazibuko
Sales Register
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8
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Neo Tshili
Amazon Prime Dashboard
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25
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Pako Kole
Sentry Safe Solutions
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3
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Tumisang Kalagobe
Sales process optimisation
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12
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Christelle kalanda
Custom Dashboard
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7
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Anja Brits
Platos Pizza Sales - Power BI Project
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Cassandra Mzola
Financial Analysis Project
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Usamah W Maphumulo
Behind every great dashboard is a clean query. Iām currently using SQL to transform raw event logs into actionable intelligence for an e-commerce build. Key Metrics Extracted: Traffic Quality: Identifying high-intent sources via avg_session_duration. Campaign ROI: Using expected_uplift to pinpoint winning customer segments. Behavioral Trends: Mapping friction points in the checkout funnel. Moving from "gut feelings" to real-time data in Power BI, Tableau, and Looker Studio.
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Joshua Bell
Business Issues Report: Insights for Education Development
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6
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Benjamin van der Merwe
Tradingview Custom Indicator Development
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21
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Thabo Mailula
Maji Ndogo Water Project ā Part 2 | Data Analysis & Insights In Part 2 of the Maji Ndogo Water Project, I focused on cleaning and analyzing employee and water source data to understand access, detect patterns, and prioritize interventions. Key Activities: Employee Data Cleaning ā Standardized emails, converted to lowercase, and updated phone numbers. Employee Performance ā Counted visits per employee and identified top surveyors. Water Source Distribution ā Analyzed records by town and province, calculated rural percentages, and total people served. Water Source Usage ā Calculated average and total users per source type. Prioritizing Repairs ā Ranked water sources by people served to guide repair priorities. This workflow highlights water access, employee activity, and priority areas for intervention.
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10
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Neo Tshili
National Sales and Customer Ratings
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