نبذة عني
Entry-Level Data Scientist, poised to enhance your team with a blend of analytical acumen and a passion for innovation. Eager to leverage my skills to elevate your organization's data strategies and contribute significan…
Entry-Level Data Scientist, poised to enhance your team with a blend of analytical acumen and a passion for innovation. Eager to leverage my skills to elevate your organization's data strategies and contribute significantly to its growth and excellence.
الخبرة
Machine Learning Engineer
Developed a machine learning model using continuous wavelet transform (CWT) for spectrogram extraction and transformer architecture for classifying atrial fibrillation (AFib) from ECG signals.
The model achieved exceptionally high accuracy, potentially aiding early AFib detection and improving patient outcomes.
Collaborated with a Turkish institute to develop a machine learning model to predict ASD in young children.
Analyzed various datasets and implemented algorithms to identify early indicators of ASD, aiming to facilitate timely intervention and improve developmental outcomes.
Assisted a professor in conducting comprehensive research on transfer learning techniques.
Implemented and compared various state-of-the-art models across diverse tasks and datasets, contributing to the advancement of knowledge in transfer learning applications.
Developed a face detection algorithm for South Alabama University to automate student attendance tracking using a camera system.
The algorithm employed cutting-edge techniques for accurate and efficient facial recognition, enabling improved attendance monitoring and administrative efficiency.