Nokwethu Simelane

Dedicated Data Science undergraduate with a strong passion for analytics, machine learning, and problem-solving. Continuously invested in building expertise through projects, certifications, and self-learning, with a drive to apply data science to real-world challenges. Curious and adaptable, with a collaborative mindset and eagerness to gain hands-on industry experience.

• Microsoft Power BI, Upskill Simplilearn
• FinTech Certification, Alison
• Machine Learning with Python, Upskill
• Data Engineering , Databricks
• Best Student in Machine Learning, University of Namibia, Certificate of Achievement

• Top National Student, Eswatini Form 3 and Form 5
• Best Student in Machine Learning, University of Namibia

Former player, Eswatini National Cricket Team, Represented the country at national and regional levels

Anti-Money Laundering Detection

• Built machine learning models (Logistic Regression, Random Forest) to detect suspicious financial transactions.
• Applied feature engineering, data preprocessing, and evaluation techniques to improve fraud detection accuracy.

Heart Disease Prediction System

• Developed a predictive model using patient health data to estimate heart disease risk.
• Designed a Tkinter-based application for user-friendly predictions and real-time decision support.

Sales Performance Dashboard (Power BI)

• Created an interactive Power BI dashboard to track sales performance and KPIs across multiple regions.
• Implemented data cleaning and visualization techniques to support data-driven business decisions.