Hi, you can call me Afiqur! A travel enthusiast and a fast learner who just enjoys problem solving. Recent Computer Science graduate with a passion for embedded systems, Web development and Machine Learning! Working on myself everyday to be a better version of myself than the previous day.
Bachelor of Science (2019-2023).
Memorial University of Newfoundland.
I have always liked analytical problems that required understanding and critical thinking to solve them. Ever since I was introduced to the world of mathematics and programming, I knew these were just the things for me. As a result, I have always known my place would be in the Computer Science field.
I have had experience working as part of a team in both work environments and educational settings, including University-based projects involving leadership and participation. I took part in the University Rover Challenge of 2018 at Utah, USA as a software team by which I have learned important leadership skills as well as many important technical skills such as Socket Programming, wireless communication etc. Moreover, by doing various machine learning projects at the University I have gained valuable knowledge on many machine learning models, their appropiate application and required libraries.
In addition, I have also worked in the service and retail industry to provide for myself during my education. This allowed me to gather additional important skills such as communication, empathy, teamwork, stress management etc.
A High-Tech embedded systems project.
Stack: Python, Raspberry Pi, Arduino, Mechatronics
A Machine Learning Model to predict Alzheimers.
Stack: Python, Sci-Kit, Panda, Numpy, GIT
Using Linear Regression to predict strenght of HP concrete.
Stack: Python, Sci-Kit, Panda, Numpy, GIT
Machine Learning model for dementia of Alzheimers type (DAT) diagnosis with brain glucose metabolism.
Stack: Python, Sci-Kit, Panda, Numpy, GIT
This website to showcase my portfolio and projects as a mean of an online resume.
Stack: HTML5, CSS, JavaScript, ReactJS, Bootstrap, GIT