Ali Al Hamadani is a Data Scientist at Safal Partners. He has a Software Engineering and IT work background, including Computer System Administration, programming and Web Development. Ali holds a Masters of Science in Data Analytics from the University of Houston-Downtown and a Bachelor of Science in Software Engineering. He has multiple data science project experiences using different data analytics and reporting tools. Ali has an interest for analyzing educational datasets, one of his data science projects was applying machine learning and predictive analytics techniques on predicting the grades of students based on their lifestyles and past academic performances and clustering the students into groups based on their performances. Ali participated in the HENAAC 29th Conference for the Graduate Research Competition with his predictive analytics research project, “Predictive Analytics of Cell Types Using Single Cell Gene Expression Profiles” –funded by the Department of Computer Science at the University of Houston-Downtown.