Data and Insights Analyst with hands-on experience across SQL, Python, Excel, Tableau, and Machine Learning. I build end-to-end analytics solutions, from messy datasets to business-ready insights.
A full analytics stack, from querying databases and building dashboards to training machine learning models.
Querying, cleaning, and transforming data with relational databases.
Exploratory data analysis, visualisation, and statistical insights.
Building and interpreting predictive models for business decision-making.
Data cleaning, pivot tables, and interactive dashboards.
Interactive dashboards and charts that communicate insights clearly.
End-to-end analytics projects spanning healthcare, cybersecurity, logistics, finance, sales, and market research.
End-to-end analysis of a 100,000-patient healthcare insurance claims dataset, covering data cleaning, MySQL querying, three Tableau dashboards, and a Random Forest ML model predicting high-risk patients with 99.58% accuracy.
Built an end-to-end analytics pipeline on a 14-table relational logistics dataset covering 85,410 trips and $298.6M in fleet revenue across 3 years (2022–2024).
Analysed financial and operational data for the world's top 100 SaaS companies to surface trends in ARR, funding, workforce efficiency, and industry performance.
Analysed global AI job and salary data to identify trends by role, region, and experience level.
Analysed global layoff data to identify industry trends, peak layoff periods, and regional impact.
Built and queried a relational database to analyse customer ordering behaviour and sales trends.
Cleaned and analysed sales data to identify revenue trends and product performance over time.
Analysed demographic and financial data to understand what drives bicycle purchase decisions.
Fictional analytics case study for a Durban-based music store facing revenue imbalances across music genres.
Financial dashboard tracking revenue, expenses, and net profit across quarters.
Business case study applying the 9-S Framework to analyse organizational misalignment and growth strategy.
I'm Sibusiso "Deven" Mbuyane, a Data and Insights Analyst based in Pretoria, South Africa. I work with real-world datasets to uncover patterns, build dashboards, and help people make smarter, data-backed decisions.
My background is hands-on. I've delivered 12+ end-to-end analytics projects independently, from raw data cleaning and SQL querying all the way to Tableau dashboards and machine learning models. I recently expanded my skill set into ML, building a Random Forest classifier that predicts high-risk insurance patients with 99.58% accuracy. I care deeply about making complex findings understandable to everyone, not just technical audiences.
I'm currently completing my Google Advanced Data Analytics Certificate and hold a PSIRA Security Certificate, Grades E, D and C, giving me a unique crossover background in both data analytics and security operations.
Pretoria, South Africa, open to remote and hybrid roles
Google Analytics Certified, Google Advanced Data Analytics (In Progress), PSIRA Security Certificate, Grades E, D and C (2026)
Freelance Data and Insights Analyst since Jan 2024, 12+ real projects, real deliverables
Data Analyst, Research Analyst, and Operations Analyst roles, remote, hybrid, or in Gauteng and KwaZulu-Natal
Open to full-time roles, internships, freelance projects, and collaborations.
I'm actively looking for data analyst opportunities, remote, hybrid, or in Pretoria. Whether you have a role to fill, a project to analyse, or just want to connect, feel free to reach out.
📞 +27 73 593 5411