Mathibele Nchabeleng

• Evaluated student progress through regular assessments, providing detailed feedback for improvement and growth.
• Created and designed quizzes, tests and projects to assess student knowledge.
• Developed strong relationships with colleagues, collaborating on curriculum development and sharing best practices in teaching strategies.
• Developed and implemented innovative teaching strategies to engage students in lectures and coursework.
• Managed large class sizes effectively, maintaining an orderly learning environment conducive to student success.
• Conducted individual research projects to actively contribute to institution's research work.
• Mentored and advised students to explore career pathways based and amplify knowledge, skills and strengths.
• Graded quizzes, tests, homework, and projects to provide students with timely academic progress information and feedback.

Technologies: Microsoft excel, word, MATLAB and Python.

Industry-level research on extraction of insights from conversational data (Twitter, Facebook etc.), fund raising and patent application. My role was end-to-end on the projects I worked on. Tasks on project one:

• Conducted literature reviews to identify relevant research articles and support project objectives.
• Collected data from social media platforms
• Performed data cleaning and analysis, maintaining high levels of accuracy throughout the dataset (pre-processing - tokenization)
• Extracted features using tf-idf and implemented dimensionality reduction techniques (SVD and t-SNE)
• Selected research tools and methods to cluster and analysed the data (K-means and Latent Dirichlet Allocation)
• Collaborated with team members for successful completion of research projects on time.
• Contributed to the preparation of the manuscript for publication in a peer-reviewed journal, enhancing professional credibility.

The manuscript of this work was published at The European Conference on Information

Retrieval. Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148238

Summary of responsibilities of the other project include:

• Assisted with preparing project-related reports, presentations and manuscripts.
• Attended meetings and presentations to learn project details.
• Collaborated with team to successfully file a patent (patent output: Calculating a degree of match for a plurality of career options.)
• Identified and applied appropriate baseline machine learning models to the dataset (logistic regression)
• Utilized statistical tools to investigate associations(Chi-Square test)

Technologies: python, numpy, pandas, matplotlib, seaborn, scikit-learn, lambda functions, scipy, researchpy, and octave.

• Stakeholder Management, Marketing and Communication: Establishing and maintaining relationships with stakeholder (Universities, applications, Department of Science and Technology, Department of Higher Education and Training and various divisions at the National Research Foundation)
• Monitoring and Evaluation of business processes: Assisting with synthesizing National Skills Fund raw data for analysis and reporting purposes on quarterly and yearly basis
• Assisting with monitoring processes, activities, budgets, milestones and performance of projects against plans
• Draft documents related to programmes (Memos, spreadsheets for funding decisions, National Skills Fund Annual reports)
• Financial Monitoring: Assist in the preparations of domain financial reports related to programmes
• Assist with financial monitoring of programme grants and contracts
• Assist the domain to implement cost saving measures on projects and when traveling on duty.
• Programme Functions: Assisting with the coordination of the National Skills Fund Quarterly Audit Meetings and other events the domain Technologies: Microsoft excel and word.