Self-Motivated recent Computer Science graduate who is extremely passionate about all things data and is always seeking continuous improvement. Positive attitude and a strong commitment to delivering quality work. In my free time, I enjoy reading, swimming, and taking online courses in order to develop my problem-solving skills, expand my knowledge, and skill set. Currently, I’m learning the foundations of Cloud Computing, Convolutional Neural Networks for Visual Recognition, and a Bioinformatics course focused on the application of Big Data to better understand, prevent, and treat diseases.
Here are my Projects:
A Multi-Layer Neural Network model which predicts the approval of personal loans for bank customers based on demographic factors such as age, experience, income, education, and existing mortgage with 97% accuracy using Keras with TensorFlow 2.0 as a backend.
Assessed the performance of the model and ensure its generalisation using various Key Performance Indicators (KPIs) such as precision, recall, and accuracy.
Built a Linear Regression Model with SKLearn, loaded and analysed Stock Price data to predict Tesla’s stock prices in the future.
Coded in Processing 3.0 | Java for an Introductory Computing Unit.
A mini game wherein an invader is moving from the right-hand side of the screen towards a base on the left-hand side. The player has the ability to shoot down the invader with a shape-shifting cannon.
Received a 100% grade, ranking First out of 331 students.
Built on top of Matchy-Matchy, the invader and the cannon have transformed from shapes to digits.