Abdurhman Albasir, Ph.D

Dr. Abdurhman Albasir is a highly skilled Data Scientist with a strong background in Data Science, specializing in areas such as data cleaning, feature extraction, deep learning, classification, clustering, and anomaly detection. His expertise includes a variety of machine learning techniques including linear and logistic regression, neural networks, decision trees, support vector machines, random forests, and K-nearest neighbors. He is proficient in using tools like Python, Jupyter notebook, Scikit-learn, YOLOv5, Pandas, NumPy, SciPy, Keras, TensorFlow, federated learning, and Matlab. With a Doctor of Philosophy (PhD) from the University of Waterloo, a Master of Science (MSc) in Telecommunications Engineering from the same institution, and a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Tripoli University, Dr. Abdurhman Albasir has a strong educational foundation. Throughout his career, he has held various roles including Head of Experimentation at the Accelerator Lab at UNDP, Data Scientist at Stream Systems Ltd. and Praemo, Graduate Student Researcher at the University of Waterloo, Radio Frequency Engineer at Juch-Tech Inc Teleport, Graduate Researcher at Network Programming Lab, University of Waterloo, Teaching Assistant (Part time) at Tripoli University, Spectrum Management (RF) Engineer at the Ministry of Communications and Informatics, and Radio Engineer at Almadar Aljadid.