Mohamed Elkholy
Computer Engineering Student | Data Science & Machine Learning Enthusiast
Computer Engineering Student | Data Science & Machine Learning Enthusiast
I am a dedicated computer engineering student passionate about leveraging my skills in programming and data analysis to use it in the data/machine learning fields. I have hands-on experience with data analysis using Excel and various programming languages including C++, Python, and Java, and have successfully completed multiple projects in AI and robotics. I am committed to continuous learning and development in the tech field, with a strong foundation in practical applications.
My expertise spans across multiple programming languages and AI technologies. I have strong foundations in traditional programming languages like C++ and Java, with growing expertise in Python for machine learning applications. My experience includes working with SQL databases, implementing machine learning algorithms, and diving into deep learning frameworks.
Beyond technical capabilities, I pride myself on strong communication and presentation skills, developed through acting experiences and numerous exhibitions. My leadership experience and team collaboration skills have been honed through managing diverse project teams and community initiatives.
Comprehensive study in computer engineering principles, software development, hardware design, and emerging technologies in computing systems.
Conducted full-cycle analysis on a business sales dataset using Excel. Explored and cleaned raw data, modeled key metrics, and built an interactive dashboard to visualize performance trends and support decision-making.
Performed structured analysis on ecommerce data using Excel. Focused on data exploration, cleaning, and KPI modeling, culminating in a dynamic dashboard that highlights customer behavior and product performance.
Analyzed Arabic-language business data for a local online shoe store. Cleaned and structured messy inputs, extracted actionable insights, and designed a dashboard tailored to client needs—emphasizing clarity, KPIs, and visual storytelling.
Developed a chatbot that provides Egyptian startups with instructions in terms of Egyptian law. This project was built and automated through n8n to ensure accurate, context-aware legal guidance.
Developed a Python-based CNN (TensorFlow/Keras) to classify chest X-ray images as Normal or Pneumonia, helping radiologists increase their diagnosis accuracy.
Built and trained a Python NLP model using LSTM networks (TensorFlow) to predict the next word/words, trained on about 999+ iPhone reviews.
Implemented both linear and logistic regression algorithms entirely from scratch in Python without using machine learning libraries, including batch-size gradient descent logic. Emphasized mathematical clarity and hands-on understanding of supervised learning foundations.
A full-stack mobile application designed to streamline bus trip reservations and payment management. Built with Flutter and integrated with Firebase Firestore, the app provides a modern, user-friendly interface for searching, booking, and managing bus trips in real time.
View Project ReportDesigned and implemented a Java application inspired by Amazon, featuring shopping cart management and checkout workflows for local pharmacy use.
Developed an Arduino-driven robot equipped with line-following sensors and decision-making algorithms to autonomously navigate and solve maze challenges.
Engineered an automated garage door controller using Arduino, integrating LDR sensors for vehicle detection to provide seamless access control.
Created a C++ console application with file-based storage to automate book inventory tracking, user registration, and borrowing processes.
Huawei
Focused on core machine learning algorithms, including supervised learning techniques and practical applications in real-world scenarios.
HCIA Certificate
ITI
Hands-on development of mobile applications using Dart and the Flutter framework, with emphasis on UI design, state management, and full functionality across platforms.
This certification is currently in progress
Digital Egypt Pioneers Initiative
Comprehensive training in data analysis fundamentals, including data cleaning, visualization, and dashboard modeling using real business datasets.
Data Analyst Specialist Certificate
DeepLearning.AI
Completed coursework covering regression and classification algorithms, model evaluation metrics, and implementation best practices using Python and scikit-learn.
Supervised Machine Learning Certificate - DeepLearning.AI
Mindset Training Company
Explored foundational machine learning and deep learning methodologies, including neural networks, evaluation strategies, and deployment considerations.
AI Track Training Program Certificate - Mindset Training Company
Beta Academy
Hands-on experience with Arduino programming, sensor integration, and basic circuit design, focusing on robotics fundamentals and embedded systems.
Beta Academy
Intensive workshop on core C++ programming concepts, object-oriented design, and data structures, with practical coding exercises and algorithmic problem-solving.