SIPHESIHLE NTLANGANO
Final Year Student
Bizana,EC
Work Preference
Summary
Analytical Bachelor of Science in Applied Statistical Sciences graduate with a solid foundation in statistical modeling, multivariable calculus, and computational programming. Achieved Pass with Distinction in Ordinary Differential Equations. Possesses strong technical and analytical problem-solving skills, ready to leverage quantitative expertise in an entry-level Data Analyst or Statistics role.
Overview
1
1
Certification
Work History
Peer Mentor
Volunteering
01.2026 - Current
- Guided peers through academic challenges, fostering a supportive learning environment and enhancing collaboration.
- Facilitated study groups, promoting knowledge sharing and improving academic performance among participants.
- Provided guidance on time management strategies, helping peers balance academic and personal commitments effectively.
- Assisted in organizing events that encouraged peer interaction, strengthening community bonds and student engagement.
Education
Bachelor of Science - Applied Statistical Sciences
Walter Sisulu University (WSU)
Mthatha, Eastern Cape05-2026
National Senior Certificate (Matric) - undefined
Department of Basic Education
South Africa12-2022
Skills
Peer mentoring
Academic guidance
Curriculum Development
Study facilitation
Communication Skills
Presentation
Writing
Critical Thinking
Time management
Data Interpretation
Technical programming
Soft skills
Certification
All academic records and national identity certifications are fully certified and verified by the South African Police Service (SAPS).
Languages
English
Advanced (C1)
Xhosa
Advanced (C1)
Afrikaans
Beginner (A1)
Timeline
Peer Mentor
Volunteering
01.2026 - Current
National Senior Certificate (Matric) - undefined
Department of Basic Education
Bachelor of Science - Applied Statistical Sciences
Walter Sisulu University (WSU)
ACADEMIC HIGHLIGHTS & KEY MODULES
- Statistical & Mathematical Competencies
- Ordinary Differential Equations: Pass with Distinction (78%)
- Abstract Algebra: Pass (70%)
- Linear Algebra II: Pass (70%)
- Mathematical Programming: Pass (70%)
- Probability & Distribution Theory II: Pass (66%)
- Linear Algebra I: Pass (66%)
- Numerical Analysis I: Pass (60%)
- Statistical Inference II: Pass (59%)
- Computing & Programming Competencies
- Programming in Java: Foundations of object-oriented program execution and coding (55%)
- Operating Systems: Pass (66%)
- Problem Solving & Computer Literacy: Strong base in computational problem-solving and software applications
- Current Final Year Modules (2026)
- Linear Regression & Multivariable Distribution Theory
- Sampling Theory and Methods
- Time Series and Stochastic Processes
- Numerical Methods