Lungelo Nkosi

Dynamic and results-oriented professional with a robust internship at CSIR, where I honed my technical skills in Python, Java, and software architecture. Excelled in data science, leading to innovative solutions and successful project outcomes. Known for exceptional problem-solving abilities and effective communication, I consistently contributed to positive team dynamics and project successes.

Driven to learn quickly, advance computer proficiency and training in industry operations. Solid background in field and office settings supporting team needs. Flexible and hardworking team player focused on boosting productivity and performance with conscientious and detail-oriented approaches.

Android App Development- Final year project
Giving someone your blood is like giving that person a second chance to life and in a country like South Africa where many are not aware of blood donation, it is a very useful application. In this app an individual who is willing to donate will send a request to a donation station closer to him/her and then an appointment will be made for him/her to come and do all the processes to determine the eligibility of donating.
Exploration of effective SDN load balancers - Honors research
In order to have a smooth communication between higher institutions and companies who are doing a research, an effective way to facilitate those communication is needed. In this project the performance, latency and throughput of a couple of load balancers was checked to find the more
reliable and effective load balancer for different conditions in the network. The topology that was used is the SANReN topology and

Software Development Projects

• Online Shopping Website:
  Developed an e-commerce platform using Spring Boot, Java, and PostgreSQL. Features include user authentication, product catalog, shopping cart, and order management.
• Hospital Management System:
  Built a web-based hospital management system using Laravel, PHP, Blade Templates, and MariaDB. Key functionalities include patient record management, appointment scheduling, and billing.
• Mobile Development:
  Designed and implemented a cross-platform mobile application using Android Studio, Angular CLI, and Ionic Framework, focusing on user-friendly design and compatibility.

Data Science Projects

• Clustering Obesity Levels:
  Applied K-Means clustering to analyze obesity data patterns. Utilized Python, Scikit-learn, and Matplotlib for data visualization.
• Predicting House Prices:
  Developed predictive models for house pricing using Linear Regression, Random Forests, and XGBoost. Tools included Pandas, NumPy, and Seaborn for data manipulation and analysis.
• Natural Language Processing (NLP):
  Conducted text analysis and sentiment classification using NLTK and Transformers for advanced language modeling.