20464-Mohamed

Summary/Objective:
Mohamed Shokry is a recent graduate with a Bachelor's Degree in Computer Science and Artificial Intelligence, possessing a strong foundation in machine learning, data science, and programming. With experience in internships at Ericsson and Tawasol IT, he has worked on developing machine learning models for customer churn prediction and data pipelines for data extraction and analysis. Additionally, he has undertaken personal projects focusing on machine learning applications such as Arabic text summarization and brain tumor classification.

Work Experience:

Ivy ML Engineer Intern at Ericsson (01/10 - Present)
Machine Learning Intern at Ericsson (01/08 - 01/09)
Data Analyst at Tawasol IT (01/07 - 01/09)
Educational Background:

Bachelor's Degree in Computer Science and Artificial Intelligence from Ahram Canadian University (2019 - 2023)
Skills:

Proficient in Python, Tensorflow, OpenCV, NLP, Computer Vision, Database Management, and more.
Experience with data visualization tools like Seaborn, Matplotlib, and Pandas.
Knowledgeable in web scraping, Git/Github, Docker, Flask, Django, and API development.
Fluent in English, Arabic, and Spanish.
Achievements/Awards:

3rd place at Ahram Canadian Collegiate Programming Contest (ECPC Qualifications) in August 2021.
4th place at Ahram Canadian Collegiate Programming Contest (ECPC Qualifications) in August 2022.
Consistently ranked 5th in the university for 4 years.
Certifications:

Fundamentals of Deep Learning by NVIDIA
Various courses on Coursera including Supervised and Unsupervised Machine Learning, Advanced Learning Algorithms, and Algorithms Specialization.
Udacity course on Data Analysis.
Pluralsight course on C++.
Coursera courses on Python programming and Git/Github.
Publications/Presentations:

"Brain tumor multi-classification and segmentation in MRI images using deep learning" - Published paper available at https://arxiv.org/abs/2304.10039.
Professional Memberships/Affiliations:
None mentioned.

Career Progression:
Mohamed has progressed from internships to a full-time role as a Machine Learning Engineer, gaining valuable experience in machine learning, data analysis, and software development along the way.

Consistency and Accuracy:
Consistently demonstrated strong academic performance and achieved notable rankings in university competitions.

Strengths:

Strong foundation in machine learning, data science, and programming.
Proven ability to develop and implement machine learning models for various applications.
Excellent academic record and consistent performance in competitions.
Dedicated to continuous learning and skill development.
Areas for Improvement:
While Mohamed possesses a strong technical skill set and academic background, he could further enhance his practical experience through more industry projects or internships in specialized areas of interest.

Soft Skills:
Mohamed exhibits strong problem-solving abilities, analytical thinking, effective communication skills, and a proactive approach to learning and self-improvement.

Professional Summary:
Mohamed Shokry is a highly motivated and skilled professional with a solid foundation in machine learning, data science, and programming. With hands-on experience in developing machine learning models and analyzing data, he brings a valuable blend of theoretical knowledge and practical expertise to any project or team. Mohamed's commitment to continuous learning, combined with his strong problem-solving skills and dedication to excellence, make him a valuable asset in the field of artificial intelligence and software development.