About Me
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.
Experience
Machine Learning Engineer
<p>Developed a machine learning model using continuous wavelet transform (CWT) for spectrogram extraction and transformer architecture for classifying atrial fibrillation (AFib) from ECG signals.<br>
The model achieved exceptionally high accuracy, potentially aiding early AFib detection and improving patient outcomes.<br>
Collaborated with a Turkish institute to develop a machine learning model to predict ASD in young children.<br>
Analyzed various datasets and implemented algorithms to identify early indicators of ASD, aiming to facilitate timely intervention and improve developmental outcomes.<br>
Assisted a professor in conducting comprehensive research on transfer learning techniques.<br>
Implemented and compared various state-of-the-art models across diverse tasks and datasets, contributing to the advancement of knowledge in transfer learning applications.<br>
Developed a face detection algorithm for South Alabama University to automate student attendance tracking using a camera system.<br>
The algorithm employed cutting-edge techniques for accurate and efficient facial recognition, enabling improved attendance monitoring and administrative efficiency.</p>