Front-End Developer | React.js | Data Analysis | Machine Learning | Software Engineering

Hello! I’m Ali Abdo, a passionate Front-End Developer and Machine Learning Enthusiast with a deep love for crafting beautiful and intuitive web applications. My main focus is on leveraging the powerful Next.js framework to build dynamic, scalable, and performant web solutions. 🚀

I hold a Bachelor of Science in Computer Science from Tanta University (2018 - 2022) and have earned several professional certifications in Front-End Development, Data Analysis, and Back-End JavaScript Development.

As a front-end enthusiast, I specialize in:

• Creating Engaging Web Experiences with Next.js 🖥️
• Designing User-Friendly Interfaces using HTML, CSS, and Tailwind CSS 🎨
• Developing Robust Backend Solutions with Node.js and Express.js 🔧
• Exploring Machine Learning Techniques to uncover insights and build predictive models using Python, NumPy, Pandas, scikit-learn, TensorFlow, and Keras 🤖

In addition to front-end development, I’m passionate about Machine Learning and have hands-on experience in:

• Data Analysis and Visualization: Transforming raw data into actionable insights using NumPy, Pandas, and visualization libraries. 📊
• Building Predictive Models: Applying machine learning algorithms to solve real-world problems, from heart disease prediction to pneumonia detection. 🧠
• Deep Learning: Developing sophisticated models with TensorFlow and Keras for advanced tasks such as image classification and natural language processing. 🌟

• Exploring Cloud Technologies like Docker, Kubernetes, and OpenShift ☁️
• Adopting Best Practices in DevOps and Agile Methodologies to streamline development workflows ⚙️
• Working with NoSQL Databases for flexible and scalable data management 🗄️

I’m driven by curiosity and a desire to tackle new challenges. I stay up-to-date with the latest advancements in technology and continuously seek out opportunities to learn and grow. I believe in building performant, accessible, and innovative solutions to solve real-world problems and make a positive impact. 🌟

Here are some of the certifications I have earned to further my skills and knowledge:

• Meta Front-End Developer Professional Certificate
• Data Camp Data Analyst Certificate
• Udacity Professional Front-End Web Developer Nanodegree
• IBM Back-End JavaScript Developer Certificate

Programming Languages:

JavaScript	Python

Front-end Frameworks:

React.js	Next.js	Redux

Backend Frameworks and Tools:

Node.js	Express.js	Docker	Kubernetes	OpenShift

Machine Learning and Data Analysis:

NumPy	Pandas	scikit-learn	TensorFlow	Keras

DevOps and Tools:

Git	GitHub	Docker	Kubernetes	OpenShift

Databases:

MongoDB	Firebase

Other Tools:

HTML5	CSS3	Tailwind CSS

Feel free to reach out to me if you’re interested in collaborating or just want to chat about tech!

Looking forward to connecting with you! 😊

• Description: A social media platform built using Next.js, TypeScript, Tailwind CSS, and Clerk Auth for user authentication. It includes features like user profiles, posts, comments, and likes.
• Technologies: Next.js, TypeScript, Tailwind CSS, Clerk Auth
• Live Demo: Social Media App

• Description: A web application that summarizes articles using OpenAI's GPT-4. Users can input article text or URLs to receive concise summaries.
• Technologies: OpenAI GPT-4, JavaScript, React.js
• Live Demo: Summarize Articles

• Description: A data analysis project investigating Netflix movies and guest stars in "The Office." The project explores datasets to uncover insights and trends.
• Technologies: Python, Pandas, DataCamp
• Live Demo: Data Analysis Project

• Description: An end-to-end machine learning project for predicting heart disease. It demonstrates the application of foundational machine learning and data science concepts for classification.
• Technologies: Python, scikit-learn, Pandas, NumPy
• Repository: GitHub Repository

• Description: A deep learning project leveraging convolutional neural networks (CNNs) to classify chest X-ray images for pneumonia detection.
• Technologies: Python, TensorFlow, Keras, CNNs
• Repository: GitHub Repository

• Description: A repository showcasing an end-to-end Scikit-Learn workflow, including data preparation, model selection, evaluation, and improvement techniques.
• Technologies: Python, scikit-learn, Pandas, NumPy
• Repository: GitHub Repository

Thank you for visiting my profile! Feel free to reach out to me if you want to connect, collaborate, or just chat about technology! 😊