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Data Science with less than a year in Machine Learning & Data Analytics
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High-achieving Data Science and Business Intelligence professional with 26 academic distinctions, currently applying theoretical knowledge to real-world challenges as a Data Analytics Intern at PPS. Expertly translates complex data into actionable business insights, leveraging robust skills in Machine Learning, Data Engineering, and Business Intelligence. At PPS, actively developing automation tools using VBA and Python to streamline operations within the risk and actuarial department, and building advanced claims analysis dashboards. Committed to driving impactful data-driven solutions and eager to contribute to innovative projects.
Belgium Campus ITversity
Bachelor of Computing (Integrated Honours) · Data Science & BI
February 1, 2023 – Present
PPS
Data Analytics Intern
March 1, 2026 – Present
Johannesburg, Gauteng, South Africa
Customer Segmentation Model
February 1, 2023 – June 1, 2026
Developed a clustering model to identify distinct customer behavioral patterns for targeted marketing strategies. Executed data cleaning and Feature Scaling (StandardScaler) in Python using Scikit-Learn to perform K-Means Clustering. Translated mathematical clusters into 5 actionable business personas, providing a data-driven strategy for engagement.
Invasive Species Image Classifier
February 1, 2023 – June 1, 2026
Developed a machine learning-based system to identify and track invasive alien plant species (Pyracantha angustifolia) in South Africa. Trained a high-performance Image Classification model (CNN), achieving an accuracy rate of over 90%. Implemented geospatial tagging and interactive mapping to visualize detections, enabling data-driven environmental monitoring and management. Designed a user-friendly web interface to allow seamless image uploads and automated plant detection for field users
Sentiforecast: Market Sentiment & Crypto Prediction
February 1, 2023 – June 1, 2026
Developed an end-to-end data science pipeline to quantify market psychology by scraping real-time social media data (Reddit) using Natural Language Processing (NLP). Engineered a feature set by converting public sentiment into numerical scores to evaluate the impact of "social media hype" on market trends. Built and trained a Time-Series forecasting model to statistically predict Bitcoin price movements based on sentiment volatility.
Microsoft PL- 300: Power BI Data Analyst
Microsoft
June 1, 2026 – Present
Intermediate Power BI Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in various leadership and extracurricular roles (Academic Peer Tutor, Netball Team Captain, Head of Sports Department, Team Manager - eSports) indicates a well-rounded individual with strong team collaboration and leadership potential. The diversity of academic projects (NLP for market sentiment, customer segmentation, image classification) shows a broad interest and adaptability within the data science domain. The current internship at PPS, applying theoretical knowledge to real-world challenges, suggests a practical and problem-solving mindset, which is a good cultural fit for an innovative data science team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and communication skills through roles like Netball Team Captain, Head of Sports Department, and Academic Peer Tutor. These experiences suggest a proactive attitude, ability to manage teams, and capacity to simplify complex technical concepts, which are valuable for operational fit and collaboration within a data science team. The commitment to driving impactful data-driven solutions aligns well with a results-oriented environment.