DATA • CLOUD • AI SOLUTIONS
Building cloud-native Data & ML systems that deliver measurable business impact.
Data Scientist and Business Analytics professional with 2+ years of experience delivering predictive models, risk analytics, and BI solutions across banking, financial services, and large-scale manufacturing. Strong background in Python, SQL, SAS, and Power BI, with proven delivery of R53M+ in cost savings, operational optimization, and decision automation. Experienced in end-to-end analytics pipelines, stakeholder-driven reporting, and production-grade ML systems.
R53M+
Cost Savings
87%
Model Precision
50%
Reporting Efficiency
R38M
Loss Reduction
Cum Laude
Data Science PGDip
WHO I AM
About Me
I'm a Data Scientist and Business Analytics professional with 2+ years delivering predictive models, risk analytics, and BI solutions across banking, financial services, and large-scale manufacturing. I specialize in Python, SQL, SAS, and Power BI—building end-to-end analytics pipelines, developing machine learning systems, and designing dashboards that solve real business problems.
My recent work includes credit risk modeling on 1M+ loan applications achieving 87% precision, Azure-based production analytics delivering R38M in savings, customer segmentation enabling targeted marketing strategies, and automated financial reporting reducing manual work by 50%. I've built solutions processing 500,000+ customer records, analyzing 250,000+ production events monthly, and enabling data-driven decisions for executives and operations teams.
My Postgraduate Diploma in Data Science (Cum Laude) and dual engineering background give me a unique combination: the statistical rigor of a data scientist, the systems thinking of an engineer, and the business acumen to translate analytics into measurable ROI. I build ML and analytics solutions that are robust, scalable, and business-focused—with a clear pathway toward senior Data Scientist, ML Engineer, and AI/ML Architect roles in financial services.
WHAT I'VE DELIVERED
Featured Projects
End-to-end analytics and ML solutions with measurable business impact.
Credit Default Risk Management System
ENTERPRISE CREDIT SCORING ENGINE
Built end-to-end credit risk platform analyzing 1M+ loan applications to predict probability of default using XGBoost classification. Developed FastAPI scoring service processing 500+ requests/second and Streamlit interface for instant risk evaluation.
87% precision, 82% recall • 500+ requests/sec API • Projected 15% bad debt reduction
ArcelorMittal Production Analytics & Azure Pipeline
CLOUD DATA WAREHOUSE & BI SOLUTION
Designed Azure-based data engineering solution processing 250,000+ production records monthly. Built automated ETL pipeline using Azure Data Factory, transforming raw data into intelligence through a star schema data warehouse.
R38M in savings • 8% throughput increase • 5% downtime reduction
Customer Segmentation & Marketing Personalization
ML-POWERED BEHAVIORAL CLUSTERING
Built unsupervised learning solution analyzing 250,000+ customer records. Applied PCA and K-Means clustering to identify 5 distinct financial behavior segments, achieving a silhouette score of 0.68 and enabling targeted marketing.
5 actionable segments • 92% scoring accuracy • 25% cross-sell improvement
FNB Customer Churn Prediction & Retention Analytics
PREDICTIVE CHURN MODELING & INTERVENTION
Developed churn prediction solution achieving 84% accuracy. Quantified R578.5M in at-risk customer lifetime value and designed a five-pillar retention framework projecting 1,604% ROI for a major South African bank.
R578.5M CLV at risk • 1.72x targeting lift • 1,604% projected ROI
MY TOOLKIT
Skills & Technologies
Analytics & Statistics
Programming & BI
Machine Learning
Data & Cloud
Technologies I Work With
WHERE I'VE WORKED
Professional Experience
Dec 2024 – Present | Pretoria, Gauteng
Financial Data Analyst
Ruach Consulting Solutions
- Built automated ETL pipelines reducing manual reporting by 50% and improving data accuracy to 98%.
- Developed 12 Power BI dashboards for cash flow monitoring across 15+ donor streams.
- Conducted variance analysis on R4.5M expenditure, achieving 5% annual cost reduction.
Mar 2022 – Nov 2024 | Vereeniging, Gauteng
Process Data Analyst
ArcelorMittal South Africa
- Designed analytics solutions analyzing 250k+ records, contributing to R25M in cost savings.
- Applied predictive analytics to reduce unplanned downtime by 8%.
- Built optimization models achieving R15M annual savings in energy consumption.
Mar 2020 – Feb 2022 | Vereeniging, Gauteng
Engineer in Training
ArcelorMittal South Africa
- Analyzed 180k+ data points supporting throughput improvements of 8%.
- Performed defect analysis contributing to a 10% reduction in customer complaints.
- Implemented risk-based maintenance strategies leading to R38M in savings.
ACADEMIC FOUNDATION
Education
Postgraduate Diploma in Data Science
University of the Witwatersrand
2025
BEng (Hons) Industrial & Systems Engineering
University of Pretoria
2023
BEng Metallurgical Engineering
University of Pretoria
2019
LET'S CONNECT
Ready to discuss your data and AI needs?
Whether you're hiring for a Data Scientist, ML Engineer role, or need consulting support for your next project — let's connect.
Phone
+27 82 580 4035Location
Gauteng, South Africa
References available upon request.