I turn messy datasets into decisions — and I explain them so anyone can follow.
I'm Vusumuzi Nkosi, a data scientist with 9+ years as a mathematics lecturer who pivoted into ML and analytics. That teaching background isn't a footnote — it's the thing that makes me different. I don't just build models; I communicate what they mean.
Currently completing a Postgraduate Diploma in Data Science (NQF 8) at STADIO and graduated from the ALX Data Science Programme. I work at the intersection of data science and finance, building end-to-end pipelines on real-world data.
- Education: PGDip Data Science @ STADIO (NQF 8) | ALX DS Graduate | BSc Maths & CS
- Location: Newcastle, KZN, South Africa
- Focus: Credit Risk | Financial Analytics | Machine Learning
- Building: Portfolio projects with real data, real scale, real business impact
- Open to: Data Scientist, Data Analyst, or ML roles (South Africa / remote)
2.26M real loans | AUC 0.72 | ~$95M annual impact
End-to-end credit risk pipeline on real Lending Club data (2007–2018). Designed the SQL schema, cleaned 151 columns down to 33 features, ran full EDA, trained Logistic Regression / Random Forest / Gradient Boosting, and quantified ~$95M/year in preventable losses. This is the project that shows how I work at scale.
| Metric | Value |
|---|---|
| Dataset | 2,260,701 loans |
| Best model | Gradient Boosting (AUC 0.72) |
| Top feature | sub_grade (23.3% importance) |
| Business impact | ~$95M annual loss prevention |
Tech:
Advanced SQL | Window functions, CTEs, aggregations
Cleaned and analysed household income data across US states and counties, uncovering regional income trends and demographic patterns using joins, window functions, CTEs, and multi-level aggregations.
Tech:
190+ countries | Health trends | Economic correlations
Investigated correlations between life expectancy and health variables across 190+ countries. SQL data cleaning and exploratory analysis examining trends over time and links to economic indicators.
Tech:
Excel | Interactive dashboards | Business KPIs
Sales performance analysis with interactive dashboards, pivot tables, conditional formatting, and visual reporting. Covers data cleaning, trend identification, and stakeholder-ready business metrics.
Tech:
| Qualification | Institution | Status |
|---|---|---|
| Postgraduate Diploma in Data Science (NQF 8) | STADIO Higher Education | In Progress (2026) |
| Data Science Programme | ALX Africa | Completed |
| BSc Mathematics & Computer Science | University of South Africa | Completed |
| BEd Mathematics & Computer Science | University of South Africa | Completed |
| Certification | Issuer |
|---|---|
| Data Science Certificate | ALX Africa |
| Data Analyst Certificate (SQL, Power BI, A/B Testing) | ALX Africa |
| AI Engineering Bootcamp | Zero To Mastery Academy |
| Prompt Engineering Bootcamp | Zero To Mastery Academy |
2026 PGDip Data Science (NQF 8) — STADIO Higher Education
└─ Intro to Data Science · Working with Data · Statistical Modelling · Applied ML
2025-2026 ALX Data Science Programme — Graduated
└─ Professional Foundations · Data Analytics · Python · Machine Learning
2025 Lending Club Analysis — 2.26M loans, AUC 0.72, $95M impact
└─ The project that proved I can work at scale with real data
2025 Certifications — ALX Data Analyst · ZTM AI Engineering · ZTM Prompt Engineering
2022-2025 BSc Mathematics & Computer Science — UNISA
2017-Present Senior Lecturer — Mathematics & IT, Amajuba TVET College
└─ 9+ years teaching 100+ students/year → communication superpower
2012-2017 BEd Mathematics & Computer Science — UNISA
2012-2016 Special Educator — Mathematics, Mdumiseni High School
└─ Where it all started
"Data is the new oil, but insight is the engine that powers progress."