Takudzwa Dzambara
Internationally educated Master’s graduate with a strong background in Electrical Engineering, Automation, Artificial Intelligence, and Surveillance Systems. Experienced in research involving real-time anomaly detection using YOLO, with additional expertise in MATLAB, Python, automation systems, and renewable energy technologies. Combines technical knowledge with entrepreneurship, leadership, and business development experience gained through managing retail and online businesses. Adaptable, analytical, and results-driven professional seeking opportunities in IT, administration, office support, or technology-related roles.
- Supported technical and operational tasks while gaining exposure to professional work environments and teamwork.
- Created and managed an online clothing business, handling marketing, customer engagement, sales, and supplier coordination.
Developed a self-driving mobile car at North China Electric Power University focusing on sensor integration and autonomous navigation algorithms.