Ebrahim Alareqi is a Ph.D. Candidate in the Department of Computational and Data Enabled-Science and Engineering at Jackson State University with more than 3 years of extensive hands-on and research experiences in the field of Data Science, Data Mining, Machine Learning, Deep Learning, Predictive Modeling and Data Visualization. His research is focused on creating machine learning / deep learning models and predictive analytics to categorize, block and remediate targeted attacks and Advanced Persistent Threats. His work has supported all phases of the machine learning lifecycle, from collecting and analyzing data, creating features for the data, and building machine learning / deep learning models to facilitate a data-driven approach to security.