Mubiru Elton Felix
Software Engineering Student | AI/ML Enthusiast
Passionate about building data-driven solutions to real-world problems through artificial intelligence, machine learning, and data science.
Software Engineering Student | AI/ML Enthusiast
Passionate about building data-driven solutions to real-world problems through artificial intelligence, machine learning, and data science.
I'm a Software Engineering student at Mbarara University of Science and Technology with a deep passion for artificial intelligence, machine learning, and data science. My journey in technology is driven by an insatiable curiosity to understand how data can be transformed into intelligent solutions that solve real-world problems.
Currently focusing on building a strong foundation in AI/ML technologies, I'm dedicated to developing innovative data-driven applications that can make a meaningful impact. My academic journey and personal projects reflect my commitment to mastering the art and science of extracting insights from data and building intelligent systems.
Comprehensive machine learning analysis of the famous Titanic dataset to predict passenger survival rates. Built a complete ML pipeline with extensive feature engineering, data preprocessing, and exploratory data analysis. Implemented multiple algorithms including Random Forest, Logistic Regression, and SVM to achieve 84.5% prediction accuracy. The project includes detailed visualizations, statistical insights, and model comparison analysis to understand the key factors that influenced passenger survival during the tragic maritime disaster.
In-depth statistical analysis and visualization of Premier League player data to understand the complex relationship between age and salary structures. Created comprehensive interactive visualizations and statistical models revealing key insights about player valuation trends across different age groups. The analysis includes correlation studies, trend analysis, and predictive modeling to identify peak earning periods for professional football players. Features detailed charts, regression analysis, and demographic breakdowns that provide valuable insights for sports analytics and player recruitment strategies.
Exciting AI/ML and data science projects are currently in development, featuring cutting-edge machine learning algorithms and innovative data analysis techniques. These upcoming projects will showcase advanced artificial intelligence applications, real-time data processing systems, and interactive analytical dashboards. Stay tuned for groundbreaking solutions in predictive analytics, natural language processing, and computer vision that will demonstrate the latest advancements in data science and artificial intelligence.
Data analysis and visualization of Premier League player statistics
Real-time GitHub activity visualization
I'm always interested in discussing new opportunities, innovative projects, and challenges in AI/ML and data science.