Building cloud-native Data & ML systems that deliver measurable business impact.
Data Scientist and Analytics professional with 5 years of engineering and analytics experience, including 3+ years delivering predictive models, risk analytics, and BI solutions across financial services and large-scale manufacturing. Strong background in Python, SQL, Azure, and Power BI with documented contributions to R83M+ in cost savings, operational improvements, and revenue retention. Experienced in end-to-end analytics pipelines, stakeholder-driven reporting, and production-grade ML architecture.
R83M+
Business Impact
87%
Model Precision
50%
Efficiency Gain
250K+
Records/Month
Cum Laude
PGDip
Who I Am
About Me
I'm a Data Scientist and Analytics professional with 5 years of engineering and analytics experience, including 3+ years delivering predictive models, risk analytics, and BI solutions across financial services and large-scale manufacturing. I specialize in Python, SQL, Azure, 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 contributing to R38M in operating profit, call center operational dashboards tracking performance across 8 KPIs, and marketing campaign optimization delivering 3.4x acceptance improvement through customer segmentation. I've built solutions processing 250,000+ monthly production records, analyzing 5,000+ call center interactions, 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 Business Intelligence roles.
What I've Delivered
Featured Projects
Strategic portfolio showcasing ML production, data engineering, operational analytics, and business intelligence.
Credit Default Risk Management System
ENTERPRISE CREDIT SCORING ENGINE
Built production-ready credit risk platform analyzing 1M+ loan applications with XGBoost classification achieving 87% precision and 82% recall. Engineered 45 features and deployed a containerized FastAPI scoring service to AWS EC2 capable of 500+ requests/second.
Impact: 87% precision, 500+ req/sec API, projected 15% bad debt reduction.
ArcelorMittal Production Analytics & Azure Pipeline
CLOUD DATA ENGINEERING & BI SOLUTION
Built an Azure data pipeline (Data Factory, SQL Server, Power BI) processing 250,000+ monthly production records. Analysis contributed to a cross-functional initiative delivering R38M in operating profit through an 8% throughput increase.
Impact: R38M operating profit, 8% throughput increase, 5% downtime reduction.
Call Center Performance Dashboard
EXECUTIVE KPI MONITORING SYSTEM
Designed an interactive Tableau dashboard analyzing 5,000+ call interactions, tracking 8 KPIs including call volume, resolution rates, and agent performance. Identified key operational gaps projected to save R1.5M annually.
Impact: 8 KPIs tracked, R1.5M projected savings, real-time monitoring.
UFood Marketing Campaign Optimization
CUSTOMER SEGMENTATION & PRECISION TARGETING
Applied K-Means clustering to segment customers into 4 groups. Designed a precision targeting strategy focusing on the top 50% of customers, projected to improve campaign acceptance by 3.4x and reduce costs by 71%.
Impact: 3.4x acceptance improvement, 4 segments identified, 71% cost reduction.
Additional Portfolio Projects
Customer Segmentation & Personalization
ML-POWERED BEHAVIORAL CLUSTERING
Applied PCA and K-Means on 250k+ banking customers to identify 5 actionable segments. Built a Streamlit web app for real-time segmentation, improving cross-sell opportunities by 25%.
View on GitHubFNB Customer Churn Prediction
PREDICTIVE CHURN MODELING & RETENTION STRATEGY
Built an XGBoost churn model achieving 84% accuracy and 78% recall. Quantified R578.5M in at-risk CLV and designed a 5-pillar retention strategy with a projected 1,604% ROI.
View on GitHubMy Toolkit
Skills & Technologies
Analytics & Statistics
Programming & BI
Machine Learning
Data & Cloud
Technologies I Work With
Where I've Worked
Professional Experience
Financial Data Analyst
Ruach Consulting Solutions
Pretoria, Gauteng | Dec 2024 – Present
- Developed SQL and Power Query workflows automating NGO transaction reporting, reducing monthly reporting time by 50%.
- Built 12 Power BI dashboards for cash flow monitoring and expenditure tracking.
- Performed variance analysis identifying budget leakages projected to save R150K annually.
Process Engineer (Operations Data Analyst)
ArcelorMittal South Africa
Vereeniging, Gauteng | Mar 2022 – Nov 2024
- Built Azure data pipeline whose analysis contributed to R38M in operating profit.
- Conducted time-series analysis that retained an R30M+ annual-value customer account.
- Developed a regression model achieving R15M in annual energy cost savings.
Graduate Engineer
ArcelorMittal South Africa
Vereeniging, Gauteng | Mar 2020 – Feb 2022
- Analyzed 180,000+ records, supporting initiatives that delivered 8% throughput improvement.
- Optimized process control, contributing to R15M in mechanical-loss 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
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