ROVHONA Mudau

Mobile app for students to track university and bursary applications.

• Created landing pages, notification systems, and profile components using React Native.
• Integrated user-friendly design from Figma and GitHub collaboration.
• Lead Developer and Designer
• Conceptualized and developed UniTrack, an app that notifies students of university application deadlines and allows bursary applications. Key features include personalized deadline alerts, a centralized application platform, and an intuitive user interface.

• Motivated students towards learning and studying to build self-confidence and reduce fear of failure.
• Collaborated with students to complete homework assignments, identify lagging skills, and correct weaknesses.
• Provided homework assistance using specific curriculum and materials.

• Designed and developed a health tech website to improve accessibility to healthcare services for underserved communities.
• Built a chatbot for symptom consultation and automated medication delivery, enhancing user engagement and convenience.
• Implemented an online consultation booking system, integrating seamless scheduling features.
• Collaborated with a multidisciplinary team to ideate, prototype, and deliver a scalable solution within a competitive hackathon environment.
• Demonstrated expertise in web development, problem-solving, and delivering innovative solutions under time constraints.

• Developed and evaluated a machine learning model to predict Titanic passenger survival using Python.
• Conducted data preprocessing and exploratory data analysis, including survival rate analysis by gender and other features.
• Utilized a Random Forest Classifier to train the predictive model on selected features like class, gender, and family connections.
• Applied feature engineering using Pandas and assessed model performance with metrics such as accuracy, precision, recall, F1-score, and a confusion matrix.
• Saved predictions and generated outputs in a CSV format for validation and reporting.
• Delivered high-performing results and gained experience in handling real-world datasets with a focus on improving model robustness.

• Competed in a national-level mathematics competition, demonstrating strong analytical and problem-solving skills.
• Applied advanced mathematical concepts to solve challenging problems under time constraints.
• Showcased expertise in areas such as calculus, algebra, and discrete mathematics, fostering critical thinking and precision.
• Gained recognition for mathematical reasoning and the ability to work effectively under pressure.