Litycia Rehab

Computer Science graduate with a 2.1 grade, I am eager to leverage my skills in the fields of machine learning, programming, cybersecurity, and data analytics. I am highly motivated and possess a strong ability to adapt to work under pressure, accompanied by effective communication skills. Currently, I am actively seeking an internship or a graduate job that will allow me to expand my knowledge and utilize my professional skills.

Finalist of the Mayor's Inovation Prize

Year 1: C++ programming project   The aim of my project was to implement C++ functionalities by developing a game for two players that requires strategic thinking of the opponents move. 

Year 2:  School Wide Project  (2022 - 2023)Working in a group aiming to enhance energy efficiency and minimize carbon emissions by implementing a responsive system tailored to actual needs. 

Year 3:  Web Application using Laravel Developed a basic web application using the core components of the Laravel web application framework. By using a form of persistent storage (database) by including examples of all CRUD operations on this storage

 
Final Year Project: Breast Cancer Prediction using Machine Learning (A-72%) (2023 - 2024)

• Trained and Evaluated different diagnostic models using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset.
• Assessed numerous algorithms, such as Logistic Regression, Linear Discriminant Analysis, K-Nearest Neighbours, Gaussian Naive Bayes, Classification and Regression Trees, and Support Vector Machine (SVM).
• Tuned SVM model's hyperparameters and eliminated outliers to enhance its performance which resulted of 99.1% of accuracy.

 Finalist of the Mayor's Innovation Prize: (2023 - 2024)

• Calculated wind energy wastage, identified inefficient use of energy resources and recommended solutions.
• Prototyped a web application to make the usage of wind energy easier for users.
• Participated in pre-project analysis and technical assessments to validate creation of user-friendly interface.