Medupi MATHUNYANE

Set up a GitHub repository and built and shared over 10 projects.
Built projects covering predictive analytics, recommendation systems, and environmental sustainability data modeling.
Designed and deployed machine learning models using pandas, scikit-learn, and statsmodels.
Used SQL and Python to clean and transform data.
Extracted useful insights from data.
Integrated APIs to automate data collection.
Documented work with detailed READMEs.
Created visualizations in Matplotlib, Seaborn, and Plotly.

Contributed peer-reviewed solutions for IBM Data Science Professional Certificate modules.
Created detailed walkthroughs for IBM Data Science Professional Certificate modules.
Helped new learners with notebooks for exploratory data analysis.
Helped new learners with API integrations.

Led a final capstone project using real-world healthcare datasets to predict disease outcomes.
Visualized trends in healthcare datasets.
Handled large-scale data end to end.
Applied machine learning algorithms.
Presented insights using dashboards.

Milestones and Gains Contributed peer-reviewed solutions and detailed walkthroughs for several IBM Data Science Professional Certificate modules. Focused on helping new learners with notebooks for exploratory data analysis and API integrations.

Milestones and Gains I set up my own GitHub where I’ve been building and sharing over 10 projects that explore everything from predictive analytics and recommendation systems to environmental sustainability data modeling. In these projects, I’ve designed and deployed machine learning models using tools like pandas, scikit-learn, and stats models. I enjoy working with SQL and Python to clean and transform data, extract useful insights, and even integrate APIs to automate data collection. I also make it a point to document my work clearly with detailed READMEs and bring data to life through visualizations in Matplotlib, Seaborn, and Plotly.

Milestones and Gains Led a final capstone project that used real-world healthcare datasets to predict disease outcomes and visualize trends. The project required end-to-end handling of large-scale data, application of machine learning algorithms, and presentation of insights using dashboards.

I am an experienced Head Tutor passionate about fostering academic excellence. I create engaging lesson plans tailored to diverse learning styles and effectively lead tutoring teams. With a strong background in Mathematics and Science, I am dedicated to helping students achieve their goals and build confidence in their abilities.