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Data Science with 1+ years in Data Analysis & Predictive Modelling.
Analytically driven and results-oriented candidate with a foundation in Data Science, Economics, and Computer Science, combining strong quantitative reasoning with real-world business insight. Skilled in translating complex data into strategic decisions through hands-on analytics projects, including predictive modelling, credit risk assessment, and market forecasting using Python, Tableau, and Excel. Proven ability to operate in high-responsibility environments (Corporate Training-Vac work), supporting accreditation processes, advising businesses on economic strategy, and facilitating university-level learning in Data Structures & Algorithms and Macroeconomics. Looking to join a growth-centric environment in the Tech Industry and an opportunity to learn from the experienced.
Nelson Mandela University
Bachelor of Commerce (BCom) · Computer Sciences
August 1, 2024 – June 30, 2026
Nelson Mandela University
Data Structures & Algorithms, Student Assistant
January 1, 2026 – Present
Eastern Cape, South Africa
Nelson Mandela University
Economics SI Leader (Supplementary Instructions Leader)
January 1, 2026 – Present
Eastern Cape, South Africa
Housing Market Predictive Model (Python)
June 24, 2026 – Present
Building a data science model to analyse and predict movements in the housing market, covering property price prediction using regression and ensemble learning, time-series forecasting of market trends, and demand modelling to estimate how quickly properties are likely to sell.
Data-Driven System (Academic Project)
June 24, 2026 – Present
Currently enrolled in a module requiring the development of a comprehensive data-driven system as a team deliverable.
Credit Analyst Job Simulation
Standard Chartered
January 1, 2026 – Present
Data Analytics Internship Job Simulation
Deloitte Australia
January 1, 2026 – Present
Data Science Bootcamp
365 Data Science
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in community outreach, their career goal to establish a training skills center for disadvantaged students, and their participation in IOBSA initiatives demonstrate a strong commitment to social impact, mentorship, and professional development. This indicates a good cultural fit for organizations that value community engagement, continuous learning, and supportive team environments. Their diverse academic background (Computer Science, Economics) and interest in both technology and finance suggest adaptability and a broad perspective.
Soft Skills & Operational Fit
The candidate demonstrates strong communication, mentoring, and problem-solving skills through their student assistant and SI leader roles. Their involvement in community outreach and event preparation suggests good coordination and teamwork abilities. The objective and career goals indicate a proactive, growth-oriented mindset and a desire to contribute to the tech industry, which aligns well with a dynamic operational environment.