Computer Science graduate with experience in software development, machine learning, and full-stack web development. Proficient in Python, Django, MERN stack, and cloud technologies. Strong in problem-solving and building scalable, user-centric solutions.
My experience spans various areas of image processing, data management, and financial technology. I've developed solutions for challenging problems, from enhancing facial recognition in difficult conditions to building real-time trading platforms.
Completed Bachelor's degree in Computer Science with a focus on software development and machine learning also achieved a strong foundation in algorithms, data structures, and software engineering principles.
The aim of this project is to examine several different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks to diversify the risk.
Face mask detection project is a computer vision project that uses computer vision to detect whether a person is wearing a face mask. This can be done by using a camera to capture images of people's faces and then using a machine learning model to classify each face as either "with mask" or "without mask".
