Oyindamola Babatunde

If you’re struggling to understand real-world datasets, build reliable ML pipelines, or turn research ideas into working AI solutions, I help bridge that gap with practical, end-to-end applied AI, from data collection to deployment, grounded in Python, ML, automation, and AI research.

I am a 4th year Computer Science undergraduate at McPherson University. My journey began in Frontend development but later changed to Data Science and AI Research after discovering that I love working on complex problems through data. Since then, I have interned as a telecommunication intern, where I worked as a radio frequency engineer and a network engineer. I am currently working as a backend intern after getting selected as one of 50 out of 14,000 applicants for the METI Japan Internship.

I am most proficient in Python, with over 2 years of experience. I’ve applied it extensively in machine learning, data analysis, automation, and AI projects. I use Pandas and NumPy for data manipulation, Scikit-learn for traditional machine learning, and TensorFlow and PyTorch for deep learning. For computer vision tasks, I’ve worked with OpenCV and Tesseract OCR. I also build web-based AI apps using Streamlit, and I have some experience with React.js for frontend development.

I also have a broad knowledge of landing pages, after working on multiple landing ages for a Japanese company.

One of the projects I’m most proud of is a Retrieval Augmented Generation (RAG) model I developed for a hackathon.

If my skills match what you’re looking for, feel free to message me — I'm available for part-time remote work and project-based tasks.