cjwessels

Masters In Machine Learning And Ai

 

Master’s student in Machine Learning and Artificial Intelligence at Stellenbosch University, with an Honours degree in Applied Mathematics and an undergraduate degree in Theoretical Physics. I have a strong academic foundation in mathematics, applied mathematics, theoretical physics, programming, and data-driven problem solving. 

During my Honours year, I specialised in Computational Fluid Dynamics, Graph Theory, Numerical Methods, Computer Vision, Applied Monte Carlo Methods, and Machine Learning. These areas have equipped me with both theoretical insight and practical technical skills relevant to research, modelling, programming, and industry applications. 

I am particularly interested in developing practical solutions at the intersection of machine learning, mathematical modelling, programming, and data analysis. I enjoy translating complex ideas into clear, reproducible, and working implementations, while continuously improving my technical toolkit through hands-on projects and self-study. 

My greatest strength is my eagerness to learn. I am highly motivated to master new technologies, deepen my understanding of complex concepts, and contribute meaningfully to the fields of Machine Learning and Artificial Intelligence. 


Experiece: 6 months

Yearly salary: $30,000

Hourly rate: $40

Nationality: 🇿🇦 South Africa

Residency: 🇿🇦 South Africa


Experience

Teaching Assistant
Stellenbosch University
2025 - 2025
I tutored university students at Stellenbosch University. I tutored the second year applied mathematics classes, these include AM214 and AM244. I also mark bi-weekly tutorial test and give feedback to the lecturer.
Data Analyst Inters
Fibertime
2025 - 2025
As a Data Analyst Intern at Fibertime, I used Python, SQL, and Excel to analyse large-scale datasets of up to 32 million records, identifying data inconsistencies and uncovering customer behaviour trends. My work involved investigating client activity, package activation patterns, login behaviour, and purchase histories to support business reporting and data-driven decision-making.
Student Intern (Data Analyst Intern)
Fibertime
2025 - 2025
During my internship at Fibertime I focused primarily on generating reports pulling data directly from the database. The work combined excel, SQL and Python to generate these reports. The reports included summaries of purchases, picking up trends at different sites and making comparisons. Furthermore, the generating of the reports were automated so that anyone with access to Python and the database could generate these reports.

Skills

ai
machine-learning
math
python
data-science
english