Alaa A. Alghwiri

Alaa A. Alghwiri has a diverse work experience spanning multiple industries. Alaa A. is currently working as a Senior Data Scientist at the University of Pittsburgh School of Medicine. In this role, they have developed predictive models using advanced machine learning techniques to identify high-risk Chronic Kidney Disease patients. Alaa A. has also conducted analyses to improve Chronic Kidney Disease care and intervention strategies. Alaa has designed and implemented a Tkinter application in Python to support targeted resource allocation for underserved communities.

Previously, Alaa worked as a Data Science Instructor at Simplilearn, where they shared their knowledge and expertise in data science.

Prior to that, Alaa served as a Data Scientist at the University of Pittsburgh, where they used data analytics tools to automate the generation of insights and improve the university's rankings. Alaa A. also developed highly accurate predictive models for students' success indicators, enabling proactive advising for students.

Before joining the University of Pittsburgh, Alaa worked as a Data Scientist and Modeling and Simulation Specialist at The University of Akron - UA Solutions. In this role, they conducted data collection and developed simulation models to optimize parking and transportation processes. Alaa A. also applied continuous improvement methodologies to enhance operational effectiveness.

Alaa has also contributed as a Data Scientist at the Federal Aviation Administration, where they collaborated with Google to optimize their search engine and conducted research to extract information from various sources using text mining and natural language processing techniques.

Earlier in their career, Alaa worked as a Senior Site Engineer at Millennium Energy Industries, specializing in thermal renewable energy. Alaa A. successfully implemented renewable energy systems for hot water and space heating applications.

Alaa started their career as a Site Engineer at Nour Communications Co. Ltd., where they performed heating and cooling load calculations and oversaw the installation of air conditioning and firefighting systems.

Overall, Alaa A. Alghwiri's work experience showcases their expertise in data science, predictive modeling, machine learning, simulation modeling, and renewable energy systems.

Alaa A. Alghwiri has a strong educational background in engineering and industrial engineering. Alaa A. obtained a Bachelor's degree in Electromechanical Engineering from Jordan University of Science and Technology in 2007. Following this, they pursued further education at The University of Akron, where they completed a Master's degree in Industrial Engineering in 2014. Alaa continued to excel academically and earned a Doctor of Philosophy (Ph.D.) in Industrial Engineering from The University of Akron in 2017.

In addition to their formal education, Alaa has also obtained various certifications to enhance their skills and knowledge. Alaa A. completed courses such as "Computational Thinking Using Python" and "Computer Science and Programming Using Python" from edX in 2022 and 2020 respectively. Alaa A. also obtained certifications in Git, Outlook 2016, learning Git and GitHub, and various data science-related courses from platforms such as LinkedIn, Udemy, and Lynda.com between 2017 and 2019. These certifications further showcase Alaa's commitment to continuous learning and professional development in the field of industrial engineering and data science.