Hello, I'm
Turning raw data into meaningful insights and building intelligent systems that solve real-world problems.
I'm a passionate Data Science and AI/ML developer who loves uncovering patterns in data and building models that make a difference. I enjoy the entire pipeline — from data collection and cleaning to training models and deploying solutions.
My goal is to leverage the power of machine learning and artificial intelligence to create impactful, data-driven solutions. I'm always learning, always building, and always pushing boundaries.
Built a gender classification system that predicts whether a person is male or female from a user-uploaded photo. Implemented face detection using OpenCV and trained a classification model with Scikit-learn. Includes a Flask web interface for uploading images and receiving real-time results.
Rog Pahichan is a minimalist, user-friendly health web application designed to help users understand their symptoms with clarity and calm. By allowing users to describe how they feel in natural language, the system analyzes inputs using a trained model and suggests possible conditions as an initial health insight. The app emphasizes simplicity and accessibility, providing a supportive tool for users to gain insights into their health without overwhelming them with medical jargon or complex interfaces. It serves as a starting point for users to better understand their symptoms and encourages them to seek professional medical advice when necessary.
Built a machine learning model to predict used car prices based on features like brand, model, mileage, fuel type, and year. Trained on ~400K rows using a Scikit-learn pipeline with target encoding, log transformation, and cross-validation. Deployed with a Flask web interface for instant price estimates.
Managed and coordinated public relations activities to promote student-driven technology initiatives and events. Handled official communication channels, ensuring consistent and up-to-date information. Collaborated with development and technical teams to support outreach for ACES platforms and projects.
Have a project in mind or just want to say hello? Let's connect!