Malusi Msweli
About Candidate
I am a Data Reporting Analyst/Data Analyst Graduate at MTN South Africa, where I work with a team of dataexperts to provide insights and solutions for various business challenges and opportunities. I use Power BI, SQL,and Excel to analyse, visualize, and communicate data from multiple sources and platforms. Likewise, I also applymy knowledge and skills in data science, machine learning, and statistics to create and implement data-drivenmodels and algorithms.
Not only that, but I am also pursuing a Master of Science degree in Data Science at the University of theWitwatersrand, where I am learning advanced techniques and tools for data analysis, management, andengineering. I have a strong background in physics, having completed a Bachelor of Science Honours degreeand a Bachelor of Science degree in Applied Mathematics and Physics at the University of KwaZulu-Natal. Ireceived the NITheP Award for Top Honours Student in Physics in 2020 for my academic excellence and researchpotential. My passion for data science stems from my curiosity and interest in solving complex problems anddiscovering new patterns and relationships in data. I enjoy working with diverse and multidisciplinary teams, andI am always eager to learn new skills and technologies. My goal is to become a proficient and innovative datascientist who can contribute to the development and growth of various industries and sectors.
Location
Education
Special Topics in Physics I (Space Science, Advanced symbolic programming, Particle physics and Molecular spectroscopy) Statistical Physics Quantum Mechanics Physics Project Special Topics in Physics II (Solid State Physics, Biomedical Physics) Electrodynamics
Adaptive Computation and Machine Learning Data Visualisation and Exploration Large Scale Computing Systems and Scientific Programming Large Scale Optimisation for Data Science Mathematical Foundations of Data Science Statistical Foundations of Data Science
Courses to complete: MScFE 560: Financial Markets MScFE 600: Financial Data MScFE 610: Financial Econometrics MScFE 620: Derivative Pricing MScFE 622: Stochastic Modeling MScFE 632: Machine Learning in Finance MScFE 642: Deep Learning for Finance MScFE 652: Portfolio Management MScFE 660: Risk Management
Work & Experience
The extraction of data using SQL and build Power BI reports/dashboards. The sharing of insights derives either from power BI or an Excel analysis. Conducting ad hoc task, example like when there is a campaign.