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👨‍💻 Salisu M. Indabawa — Software Engineer | Data Scientist | Android Developer

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📍 Location

Nigeria 🇳🇬


🚀 Portfolio Website

👉 Live Project: https://salizee.github.io/portfolio/


🧑‍💻 Professional Summary

I am Salisu M. Indabawa, a passionate Android Developer and Data Science enthusiast focused on building real-world, scalable, and impact-driven solutions.

I specialize in:

  • 📱 Mobile App Development (Android)
  • 📊 Data Science & Machine Learning
  • 🌐 Web Development (Frontend)
  • 🏥 Digital Health & Civic Tech Solutions

I enjoy transforming ideas into practical systems that solve real problems in health, governance, and community development.


🛠️ Technical Skills

💻 Programming Languages

  • Python 🐍
  • Java ☕
  • JavaScript ⚡
  • R 📊

🌐 Web Development

  • HTML5
  • CSS3
  • JavaScript

📱 Mobile Development

  • Android Development (Java-based)

📊 Data Science & AI

  • Machine Learning
  • Data Analysis
  • Predictive Modeling

🎨 Design Tools

  • Figma (UI/UX Design)

📱 Featured Projects

♻️ Smart Waste Management System (Android App)

  • Waste reporting system
  • Pickup request management
  • Waste monitoring solution

🏥 Health Medical Prediction System (Machine Learning)

  • Disease prediction from symptoms
  • Early health insights
  • Data-driven healthcare support

🐍 30 Days Python Capstone Project — Arewa Data Science Academy

  • Python fundamentals
  • Data analysis tasks
  • Mini real-world projects

🎨 Web Capstone Project — eHealth Africa Academy

  • UI/UX design in Figma
  • Wireframing & prototyping
  • Digital health system design

📊 GitHub Analytics

GitHub Stats

Top Languages


🎯 Career Interests

  • Software Engineering (Frontend / Backend)
  • Android Development
  • Data Science & Machine Learning
  • HealthTech & CivicTech Innovation
  • Research & Development Projects

📫 Contact


⭐ Final Note

This portfolio represents my early professional journey and continuous growth in:

  • Artificial Intelligence 🤖
  • Software Engineering 🧠
  • Mobile & Web Development 📱🌐
  • Data Science & Analytics 📊

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