Sahab Mohamed
Centreville, VA *****
ad10x6@r.postjobfree.com
• A creative thinker and Skillful at problem-solving and competitive programming.
• trying to get an internship to develop my skills and build new skills and experience in my studying field.
Authorized to work in the US for any employer
Work Experience
Programming/Robotics counselor
TIC Summer Camp - Washington, DC
June 2023 to September 2023
Dedicated to teaching groups of kids aged from 6 to 14 years old basic and useful concepts of Programming and Robotics. also, a part of the job responsibility was taking care of the kids physically and mentally and being a good role model for them, and leading them throughout the learning process. Gained a great amount of creative thinking, collaboration, communication, and problem-solving skills. Also, essential life skills such as Leadership, Initiative, social skills, productivity, and counseling skills. In addition, it helped me broaden my technical knowledge in other fields such as Music, arts, sports, and human communications
Completed the summer job contract with a "hire again" recommendation as my overall contribution. Here is the contact information for the summer camp owner Emily Riedel. Email: ad10x6@r.postjobfree.com phone number: 571-***-****
Education
Associate's degree With Presidential Scholar Honoree Award in Computer Science
Northern Virginia Community College - Annandale, VA August 2022 to December 2023
Finished the first year in Computer Science
Faculty of computer and artificial intelligence - Cairo University April 2021 to May 2022
Skills
• C++ (4 years)
• Git
• Problem-solving skills
• Good knowledge of algorithms
• Python (Pandas, NumPy) (2 years)
• Strong maths skills (7 years)
• Java (2 years)
• Microsoft office (Word - Excel - Power Point) (3 years)
• Physics (2 years)
• AWS basic skills (1 year)
Languages
• English - Fluent
• Arabic - Expert
• German - Beginner
Links
https://www.linkedin.com/in/sahab-mohamed-4b698a24b Certifications and Licenses
Supervised Machine Learning #1 - Regression and Classification April 2023 to Present
Machine learning course by DeepLearning.AI & Stanford University In the first course of the Machine Learning Specialization, I learnt to • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, I learnt the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
Here is the link for the certificate.
https://www.coursera.org/learn/machine-learning