Mpho Phukubye

Data-driven and collaborative graduate with an Honors degree in Statistics and Data Science from the University of Pretoria. Experienced in applying statistical techniques to analyze market trends, including tracking the performance of indices and commodities. Proven ability to work effectively in teams, demonstrating resilience and a strong work ethic when faced with challenges. Possesses a strong research background, negotiation skills, and the ability to perform under pressure. Further equipped with a solid understanding of accounting and economics principles, and excellent numerical skills. Google Cloud Certified with a strong understanding of cloud-based data analysis tools. Eager to contribute analytical expertise and customer focus to a dynamic investment banking or financial services environment.

• Tinyiko Malinga, +27767352343

Project: Algorithmic Tendencies in Major Stock Indices

Analyzed the historical price data of major stock indices, including the FTSE 100, S&P 500, Dow Jones Industrial Average, and Nasdaq Composite, to investigate potential algorithmic patterns and trends in price movements. Employed statistical techniques and time series analysis to research the correlation between time and price fluctuations, utilizing Excel and dummy variables to identify recurring patterns or anomalies. This research involved developing predictive models to analyze price movements and continues to explore more sophisticated methods for forecasting market trends.

Project: Research Proposal using Statistical Software

Mini dissertation completed in 2021, As the foundation of the report, I researched survival analysis and observed a clinical dataset of cancer patients. I used Rstudio to analyze the data to generate Kaplan-Meier curves and survival rates of male and female patients. R was also used to compute statistical tests such as the log-rank test and Wilcoxon test.

Project: Solution design and architecture

Proposals for large corporations, Involved in putting together proposals for large corporations in the investment, and financial services industries for a revamp of their entire VoIP infrastructure. This included aspects such as networking and other VoIP telephony products that were proposed to the customer for a seamless and modernized adoption of newer technologies.