
Highly motivated individual with a strong academic foundation in quantitative, data analysis, statistics, and business intelligence. Proven ability to collect, analyze, and interpret large data sets, and develop data-driven solutions to drive business improvement and cost reductions. Proficient in SQL, Python, and data visualization tools like Tableau. Demonstrated understanding of machine learning algorithms and their application. Excellent problem-solving skills, with a knack for turning data into actionable insights. Eager to apply these skills as a Junior Business Data Analyst.
Projects:
Technologies and Methods used:
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This course covered:
Advanced Calculus Theory and Applications
Advanced Linear Algebra Theory and Applications
Principal Component Analysis (PCA) Theory and Applications
Image Processing
Advanced Statistical Analysis using Python
Linear and Non-Linear Regression Analysis
Deep Learning Neural Networks
Advanced Machine Learning Techniques
Applications using PyTorch, Keras, TensorFlow
Practical Lab Assignments
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The course covered:
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This course covered advanced topics:
SQL & Database Management
Google Business Intelligence (BI) Analyst
Google Business Intelligence (BI) Analyst
IBM AI Engineering Professional
Mathematics for Machine Learning
1. Name: Prof. Francis Lugayizi
Position: Associate Professor & Subject Chair: Mafikeng campus
Phone: +27 18 389 2623
Work Email: Francis.Lugayizi@nwu.ac.za
Location: Building A12 (New Science Building), room G02, North West University
Qualification: PhD Computer Science (NWU)
2. Name: Karabo Mashabane
Position: Civil Engineer - Road and Transport
Email: karabomashabane1@gmail.com
Phone: 071 015 6601
Location: Zutari, Pretoria
Qualification: BEng Civil Engineering (University of Cape Town)
Relation: Mentorship