Eager college student working towards a BS in Computing and Information Technologies from Rochester Institute of Technology in Dubai. Aiming to use my knowledge to intern in an IT or Computer Science position.

As the leader of a small, dynamic group focused on leveraging the power of machine learning, I spearheaded groundbreaking research in predicting the likelihood of individuals developing diabetes in their lifetime. Harnessing the potential of various algorithms, including K-Nearest Neighbors (KNN), Decision Trees, and more, we delved into multiple datasets encompassing medical records, lifestyle factors, genetic predispositions, and other relevant variables. Our collaborative efforts and expertise in data analysis allowed us to develop robust predictive models, enabling early identification and targeted preventive measures for individuals at risk of diabetes. Through our pioneering work, we aimed to make a positive impact on public health by empowering people to take proactive steps towards healthier lives.

I have also some background with Data Analytics by using Machine Learning algorithms (Decision Trees, Linear Regression, KNN algorithm, etc.) to create a project to determine whether a person is more likely to have diabetes or not from 2 data sets. 

I have programmed in these languages: Java, Python, Javascript, PHP, HTML, CSS, MySQL queries, Assembly Language. Also worked with Data scraping, preprocessing, and data visualization by using Numpy, Pandas, Matplotlib, and Seaborn.