IVAN NKOMATI

A highly skilled IT professional with a Bachelor's Degree in Computer Science. Fluent in English, German (C1 level certified) and Swahili , with elementary knowledge of French. Proficient in IT patch management, software licensing, incident management, system administration, and IT security. Strong programming expertise in C#, Java, and Python, along with front-end web development experience using frameworks such as Django, Blazor, React, and Next.js, and CSS frameworks like Bootstrap, Syncfusion and Tailwind CSS.

Experienced in working within a multinational environment, bringing adaptability, cross-cultural collaboration, and global operational insights. Dedicated to delivering efficient IT solutions while driving innovation, collaboration, and productivity within teams.

• Teamwork and Leadership
• Effective Communication
• Problem-Solving
• Adaptability
• Time Management
• Attention to Detail
• Critical Thinking
• Creativity

VAT22 Project

Optimized tax reporting systems by integrating advanced IT tools and ensuring compliance with local regulations.

Tasks included system testing, user training, and providing technical support.

Import Volume Monitoring Platform

Collaborated with colleagues to develop a platform for monitoring import volumes.

This project provided operational teams and customs departments with daily and weekly forecasts of incoming volumes for easy planning.

Overview:
This project involved building a full-featured event ticketing marketplace where users can browse events, purchase tickets, and vendors can list their events. The marketplace aimed to streamline the process of event organization and ticket sales, providing both buyers and sellers a seamless experience.

Technologies Used:

• Frontend: Next.js (React framework) for server-side rendering and efficient routing.
• Backend: Convex for real-time data management and Clerk for user authentication and management.
• Features: Real-time updates on ticket availability, event creation, and user profiles for event organizers and attendees.

Role of Python/Django: While this project did not specifically use Python or Django, the integration of the backend with real-time data services and user authentication was handled by Convex and Clerk. However, if future expansions or feature additions were planned, Python/Django could be leveraged for additional functionalities like advanced analytics, reporting, or integrating payment systems.

Overview:
This project focused on creating a real estate marketplace where buyers, sellers, and agents could interact. The platform allows users to list properties, search for real estate based on various filters, and manage transactions.

Technologies Used:

• Frontend: React and Next.js for a dynamic and responsive user interface.
• Backend: Python with Django for the backend, handling property listings, user data management, and transactional processes.
• Database: PostgreSQL for storing user information, property details, and transaction history.
• Other Features: Advanced search filters, property mapping, and email notifications.

Role of Python/Django:
Python with Django was used to develop the backend API, handling property listings, user authentication, and communication between the frontend and database. Django's built-in features like admin panel and ORM made it easy to manage listings and user data efficiently.

Overview:
This project was aimed at building a bus ticketing system that emulates the concept of "E-Buspark," providing users the ability to book tickets for bus rides, view schedules, and manage ticket purchases. The system was designed to mimic the operation of an online bus ticket booking platform.

Technologies Used:

• Frontend: HTML, CSS, and JavaScript for the user interface.
• Backend: Python with Django for the backend system, including managing user registrations, bus schedules, and ticket bookings.
• Database: SQLite (or PostgreSQL) to store bus schedules, user data, and ticket records.

Role of Python/Django:
Python with Django was essential for building the backend system, where Django handled user registration, booking functionality, and scheduling. Django’s ORM was used to interact with the database, storing ticket bookings, user details, and bus schedules.