♥ ECG — LEAD II 72 BPM ✓ Healthcare Data Analytics · Portia Tjempe

I'm Portia Tjempe, a Healthcare Data Analyst and BSc Data Science student based in South Africa 🇿🇦, with hands-on clinical experience from Emergency Medical Services combined with a growing data science skillset.

My work sits at the intersection of clinical operations, health informatics, and machine learning — I build predictive models, public health dashboards, and workflow automation tools that support evidence-based decision-making in healthcare.

📍 South Africa  |  🏥 Former Medical Ambulance Assistant  |  🎓 BSc Data Science — 2nd Year  |  📧 pmammule@gmail.com

💊 Programming & Analytics

📊 Data & Reporting

🏥 Healthcare & Compliance

🗄️ Databases & Cloud

🛠️ Tools

Python · Scikit-learn · Pandas · Logistic Regression · SMOTE

Predictive ML model identifying high-risk hospital readmission patients to support clinical decision-making.

• 🧹 Cleaned and processed 10,000+ patient records — handled missing data and class imbalance using SMOTE
• 🎯 Achieved 82% model accuracy — key predictors: diagnosis codes, length of stay, prior visit history
• 📊 Visualised risk stratification outputs in Matplotlib for clinical team review and patient intervention planning

Python · Power BI · K-Means Clustering · Data Visualisation

Customer segmentation using unsupervised machine learning to identify distinct behavioural clusters.

• 🗂️ Aggregated and cleaned multi-source datasets — applied K-Means clustering for demographic and spending profiles
• 📈 Built dynamic Power BI dashboard communicating segment insights to non-technical stakeholders
• 💡 Delivered actionable recommendations for targeted engagement strategies

Google Workspace · Automation · Documentation · SOPs

Streamlined patient scheduling and follow-up processes during a virtual healthcare internship programme.

• 📧 Designed automated email follow-up templates — reduced manual coordination time by ~30%
• 📋 Created standardised onboarding documentation and SOP guides for virtual care teams
• 🤝 Supported cross-functional coordination between clinical supervisors and remote interns

Relevant coursework: Statistical Modelling · Machine Learning · Database Systems · Health Informatics

"Data is the stethoscope of the 21st century — it lets us listen to systems at scale."