Introduction
Rayhan is an enthusiast in data science and AI with a strong interest in transforming data into practical solutions. His work spans a range of challenges, from training XGboost models to categorizing obesity based on health metrics, and building LSTMs for forecasting sales, pricing, and air quality.
He focuses not only on model performance but also on efficiency. Exploring techniques like data augmentation, precision trade-offs, and lightweight architectures to create solutions that are both effective and scalable. To him, AI is about blending technical skill with creativity to uncover insights and solve real-world problems.
Projects
Formula 1 tyre strategy optimizer
Project
Movie recommendation system
Project
Obesity classifier
Project
Manna Kofie
Project
Hotel booking confirmation predictor
Project
Air quality LSTM
Project
Experience
Telkom vocational high school
Full stack intern