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Mofoka Mathibela

Mofoka Mathibela

Data Analytics Intern

Talent
EmalahleniMember since May 26, 2026
XGBoostFeature EngineeringPythonSQLFraud DetectionExcelOptimizationClusteringTensorFlowSMOTE
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XGBoostFeature EngineeringPythonSQLFraud Detection

About

Analytical and results-driven professional with an M.Sc in Mathematical Sciences specializing in Data Science and Statistics, and 3+ years of experience in developing machine learning solutions for retail, supply chain, and financial applications. Proven track record in building predictive models that drive business outcomes, including reducing delivery delays by 15%, decreasing inventory waste by 18%, and improving sales growth by 10%. Expert in Python, R, SQL, and ensemble methods with a strong mathematical foundation in statistical modeling and data analysis.

Passionate about applying mathematical theory to solve practical business problems and eager to transition into academia, bridging the gap between theoretical concepts and real-world applications.

Experience

Data Analytics Intern - Cape Peninsula University of Technology - Cape Town, South Africa

  • Developed and deployed a student retention machine learning model using ensemble methods, improving student outcomes by 13 percent
  • Implemented feature engineering and data preprocessing pipelines for academic performance prediction
  • Created interactive dashboards tracking 15+ academic KPIs for data-driven departmental decision-making
  • Collaborated with academic advisors to translate business requirements into technical specifications
  • Conducted statistical analysis on student demographic and performance data to identify retention patterns

Data Analytics Intern - SCM and Shipment Department - The Foschini Group - Cape Town, South Africa

(2021-06 - 2022-06)

  • Developed machine learning models to predict shipment lead times, reducing delivery delays by 15 percent
  • Built time series forecasting models (ARIMA, Prophet) to optimize inventory levels and reduce waste by 18 percent
  • Created profit optimization models that identified high-margin products, contributing to 10 percent sales growth
  • Automated weekly sales and shipment reports, saving 8 hours of manual work per week
  • Collaborated with logistics team to implement data-driven routing suggestions

Education

M.Sc - Mathematical Sciences (Specialization: Data Science and Statistics) - University of Cape Town (2025)

B.Sc (Hons) - Mathematical Sciences - University of Western Cape (2024)

Advanced Diploma - Mathematical Sciences - Cape Peninsula University of Technology (2022)

Skills

Data Analytics Intern

Reviews

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