Hello, I'm Francis Maga

Android Developer, Machine Learning, Deep Learning

Discover My Work

About Me

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I'm a passionate and skilled tech professional with strong expertise in Android development, machine learning (ML), and deep learning (DL). I enjoy building smart, efficient solutions that combine intuitive mobile experiences with intelligent, data-driven technologies. With a focus on performance and usability, I create digital products that are both innovative and impactful.

My journey in the digital world has been fueled by curiosity and a passion for learning emerging technologies. While I'm most proficient in Android development, I also work across broader areas of tech including machine learning and deep learning. I believe in the power of technology to solve real-world problems and create meaningful user experiences.

Skills & Expertise

Web Development

HTML, CSS, JavaScript, React, Node.js, Firebase

Android Development

Node.js, Java, Kotlin, Expo, Android Studio, Flutter, Firebase, SQLite, XML UI design

Machine Learning

Data Analysis, Supervised Learning, Scikit-learn, Pandas, NumPy, Model Evaluation (accuracy, F1, recall), Deep Learning fundamentals

Digital Tools

Zapier, Google Apps Script, Canva, Figma (basic), Visual Studio Code, Google Colab, GitHub

Featured Projects

Simple Twitter Clone (Expo)

React Native Tweet App

A mobile app prototype built with React Native and Expo. Simulates a Twitter-style feed using mock data in tweet.js. Includes tweet rendering, layout styling, and interactive UI elements to demonstrate frontend development skills.

KNN Heart Attack Predictor

Heart Attack Prediction (Google Colab)

A machine learning project using the K-Nearest Neighbors (KNN) algorithm to classify patients as likely or unlikely to have a heart attack. Built with Python, scikit-learn, and pandas. The notebook includes data preprocessing, model training, and performance evaluation using a confusion matrix, accuracy score, precision, and recall.

Personal Portfolio Website

Responsive Developer Portfolio

A custom-built responsive portfolio using HTML, CSS, and vanilla JavaScript. Features smooth scrolling, particle animations, interactive sections, and project showcasing. Designed and developed to present skills and projects professionally.

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