Omar Afify

WORK HISTORY

EDUCATION

ABOUT OMAR AFIFY

Omar Afify is a Computer Engineering student from Queen\'s University with a passion for data science, programming, and cybersecurity. He thrives on solving complex problems and transforming data into actionable insights. Proficient in Python, Java, C/C++, SQL, and VBA, he has hands-on experience with tools and platforms such as AWS, Spark, Hadoop, Git, Jupyter, Tableau, MySQL, RStudio, Jira, and Arduino. During his studies, he maintained a GPA of 3.95/4.3 (90%) at Queen\'s University and earned a Certificate in Data Science from the University of Waterloo, reinforcing his expertise in data analysis and visualization using Python, SQL, and Tableau. Recently, he obtained the Certified in Cybersecurity (CC) certification from (ISC)², showcasing his foundational knowledge in key cybersecurity domains such as Security Principles, Incident Response, Business Continuity and Disaster Recovery Concepts, Access Control Concepts, Network Security, and Security Operations. In his recent role as a Cloud Data Engineer Intern at Sun Life Financial, he contributed to the migration of code from SAS to PySpark by converting 11 workflows, leveraging Apache Spark through AWS. He implemented Agile and CI/CD methodologies using Jira, BitBucket, Jenkins, and Terraform to deploy changes efficiently. His efforts in optimizing code led to reduced costs in running AWS Glue ETL/ELT data pipelines. Additionally, he provided business intelligence insights for 9 marketing campaigns, enhancing client and stakeholder satisfaction. Previously, as a High-Speed Electrical Compliance Engineer Intern at AMD, he developed his skills in debugging, root cause analysis, and test automation using Python during a 12-month internship. Beyond professional experiences, he has engaged in extracurricular projects like analyzing automobile accident data in Calderdale, England, and developing a Python neural network with over 97% accuracy for handwriting digit classification. He also designed and built an autonomous rover capable of line tracking, flag retrieval, and obstacle navigation for a Mechatronics and Robotics project. With a strong foundation in data science and cybersecurity, he is eager to leverage his technical skills and problem-solving abilities to make a meaningful impact in the Technology and Financial industries. He looks forward to opportunities where he can continue to grow professionally, collaborate with innovative teams, and contribute to data-driven and secure solutions.