EXPERIENCE
2024
Data Analyst
UVU-AFRICA
Data Analytics, Data Governance, IT Essentials, Presentation skills, Python, Data Visualization Techniques (Microsoft PowerBI, IBM SPSS), Databases, Hardware Components, Team Leadership, Scrum Sessions.
2023
WALTER SISULU UNIVERSITY
Secretary
As I was a dedicated Secretary to the Head of Department at Waltor Sisulu University, I thrive in fast-paced academic environments where my organizational skills and attention to detail contribute to the smooth operation of our faculty. My role was crucial in supporting both administrative tasks and the broader academic mission of the department.
EDUCATION
2022
WALTER SISULU UNIVERSITY
Diploma In ICT In Application Development
2015
GAMALAKHE COMMERCIAL HIGH SCHOOL
Matric
SKILLS
Python
SQL
C#
Java
HTML&CSS
Microsoft PowerBI
PROJECTS
The banking app was designed to provide users with a secure platform for managing their finances. Key features include account balance tracking, transaction history, fund transfers, bill payments. The user interface was crafted with a clean layout, ensuring easy navigation and responsiveness across devices.
Banking Ap(Click on the picture above to access the project)
School Database(Click on the picture below to access the project)
This project involved creating a school database using both SQL and MongoDB to manage structured and unstructured data effectively. The SQL database handled relationships among entities like Students and Courses, ensuring data integrity with well-defined tables and queries. MongoDB was utilized for its flexibility in managing diverse student projects and extracurricular activities. This integration enhanced data retrieval times and user experience, providing a comprehensive solution for the school's data management needs.
This project involved designing a comprehensive database system for a hospital to efficiently manage patient information, staff records, and medical histories. The Entity-Relationship Diagram (ERD) included key entities such as Patients, Doctors, Appointments, Treatments, and Medications, with clearly defined relationships like one-to-many and many-to-many. The database was normalized to reduce redundancy and ensure data integrity.