Open to opportunities

Sohaila Kandil

@sohailakandil

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Teaching Assistant passionate about machine learning and data analysis.

Egypt

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can apply my skills in machine learning and data analysis to solve real-world problems.

I am currently a Teaching Assistant at the Faculty of Computer Science at Egypt-Japan University of Science and Technology (E-JUST), where I teach subjects such as Computer Architecture and Advanced Programming. My academic journey has been marked by a strong focus on machine learning, computer vision, and data analysis, which I have explored through various projects and research initiatives.

Throughout my career, I have developed a robust skill set in programming languages such as Python, C++, and Java, and have hands-on experience with machine learning frameworks like TensorFlow and PyTorch. My projects include developing a football video analysis tool using YOLOv8 and creating a deep reinforcement learning agent for the classic Pac-Man game. I am committed to leveraging my technical expertise to contribute to innovative solutions in the field of computer science.

Experience

Work history, roles, and key accomplishments

Teaching Assistant

Egypt-Japan University of Science and Technology

Feb 2025 - Present (5 months)

Currently teaching core computer science subjects including Computer Architecture, Operating Systems, Data Structures, and Advanced Programming. This role involves delivering lectures, preparing course materials, and guiding students through complex technical concepts.

Computer Architecture Operating System Data Structures Advanced Programming Teaching Curriculum Development

Machine Learning for Data Analysis Intern

NTI

Oct 2024 - Present (9 months)

Analyzed and cleaned data using Python libraries such as TensorFlow, Keras, NumPy, and Pandas. Applied various machine learning techniques including linear and logistic regression, SVMs, decision trees, and linear classification.

Data Analysis Machine Learning Python TensorFlow Keras NumPy Pandas YOLOv8 Computer Vision

Cloud Computing Intern

Orange Digital Center

Sep 2024 - Present (10 months)

Gained expertise in AWS cloud essentials, covering IT architecture, virtualization, cloud storage, Infrastructure as Code (IaC), networking, and containers. This internship provided a comprehensive understanding of cloud computing principles and practices.

AWS Cloud Computing IT Architecture Virtualization Cloud Storage IaC Networking Containers

CS50 Course Instructor

Google Developer Student Club – GDSC at E-JUST

Nov 2023 - Present (1 year 8 months)

Served as one of three instructors for the CS50 course, delivering content on Scratch, data types, data structures, conditionals, and search algorithms to computer science students. Facilitated learning and problem-solving sessions.

CS50 Programming Data Structures Algorithms Teaching Mentoring Public Speaking

Machine Learning and Deep Learning Intern

ITI Online

Sep 2023 - Present (1 year 10 months)

Studied supervised and unsupervised learning methodologies, and gained practical experience working with Python libraries for machine learning. This internship focused on theoretical understanding and practical application of ML concepts.

Machine Learning Deep Learning Supervised Learning Unsupervised Learning Python scikit learn

Python Course Instructor

International Academy

Sep 2023 - Present (1 year 10 months)

Taught programming fundamentals in Python to children aged 6 to 10, covering Scratch, functions, data types, loops, algorithms, and data structures. Developed engaging lessons to introduce complex concepts in an accessible manner.

Python Scratch Algorithms Data Structures Teaching Curriculum Development

Machine Learning Intern

Egypt Makes Electronics – EME

Jul 2023 - Present (2 years)

Completed an internship covering linear classification, linear regression, neural networks, GANs, and reinforcement learning. Utilized TensorFlow-Keras to design and implement models for analyzing diverse individual attributes and developed a classification model to identify autism.

Machine Learning Deep Learning TensorFlow Keras Neural Networks Reinforcement Learning Classification Clustering

Education

Degrees, certifications, and relevant coursework

Egypt-Japan University of Science and Technology

BSc in Computer Science and Engineering, Computer Science and Engineering

Grade: 3.69/4

Pursued a Bachelor of Science in Computer Science and Engineering, focusing on core computer science principles and advanced engineering concepts. Achieved a CGPA of 3.69/4, demonstrating strong academic performance in the field.