Daniel Abiodun

Machine Learning Engineer & Automation and Embedded Systems Expert.

Mowe, NG.

About

Motivated AI/ML enthusiast and aspiring Full-Stack Developer with hands-on experience in Python, machine learning, OpenCV, and web application deployment using Flask. Passionate about leveraging data-driven solutions to build intelligent systems, actively applying a builder's mindset to solve real-world problems, particularly within robotics, automation, and critical African challenges. Proven ability to rapidly acquire new technical skills and drive innovative project development from concept to deployment.

Languages

English

Yoruba

Education

Secondary School

Mowe, Ogun State, Nigeria
Secondary School Certificate (SSCE) General Studies Grade:

Certificates

100 Days of AI Bootcamp

Max Haining

Skills

Technical Skills

Python Programming, Machine Learning Fundamentals, OpenCV & Image Processing, HTML & CSS, Flask (Web App Deployment), Arduino & Embedded Systems, Data Analysis, API Integration, Git & GitHub Basics, Graphics Design.

Tools & Platforms

VS Code, Google Colab, Jupyter Notebook.

Soft Skills

Research & Problem Solving, Communication, Creativity, Team Collaboration, Adaptability, Technical Writing & Editing.

Interests

Artificial Intelligence & Machine Learning

Robotics & Automation

Forex Trading Systems

Mobile App Development

Technical Content Creation

Projects

Dropout Prediction System

Summary

Developed a machine learning system to predict student dropout risks using educational data, focusing on model training, preprocessing, evaluation, and Flask deployment planning.

Drone Prototype Development

Summary

Designed and developed a personal drone prototype, exploring hardware integration, electronics, and embedded systems concepts to build a functional model.

WhatsApp Auto-Reply Chatbot

Summary

Conceptualized and planned a WhatsApp chatbot designed for automated customer replies, inquiry handling, and seamless API integration workflows.

AI & Public Health Research Concepts

Summary

Researched and conceptualized machine learning applications for healthcare and public health problem-solving, utilizing locally simulated datasets to explore practical solutions.