Teaching Experience

• Graduate Teaching Assistant, UNC Chapel Hill (2021–Present)
  • Held weekly office hours on Tuesdays and led two Friday recitation sessions for Introduction to Data Science (DATA 110) — the first with 33 students and the second with 36 students.
  • Graded student labs and homework assignments, providing detailed feedback to reinforce key data science concepts.
  • Provided in-class debugging support and additional office hours for over 200 students in Introduction to Scientific Programming (COMP116).
  • Discussed lab problems and guided students through collaborative exercises to strengthen problem-solving skills.
• Teaching Assistant, Data Matters Summer Course (Online) – RENCI & Odum Institute (Summers 2022, 2023, and 2024)
  • Debugged students’ Python and TensorFlow code during live training sessions.
  • Monitored the Zoom chat and responded to participant questions in real time.
  • Recorded daily attendance and participation throughout the week-long course.
• Program Assistant, Data Science Nigeria (2019–2020)
  • Developed the Python programming and Introduction to Machine Learning syllabi for the AI-everyday training program.
  • Taught Python and machine learning sessions, evaluated student performance, and assisted with bootcamp planning and organization.
  • Supported mentoring activities for beginner participants transitioning into applied data science.
• Substitute Lecturer, Ladoke Akintola University of Technology, 2018, (2020–2021)
  • Courses: Discrete Mathematics, Linear Algebra, Programming Fundamentals.
  • Co-supervised 5 undergraduate research projects in Data Mining and Machine Learning.

Teaching Philosophy

My teaching approach is grounded in three principles:

1. Relevance drives engagement — connect theory to real-world impact.
2. Inclusion requires intentional design — create multiple entry points for diverse learners.
3. Productive struggle builds confidence — scaffold challenges to support growth.