Orlando D.

Orlando D. is an Information Systems undergraduate at Universitas Indonesia, specializing in data science and machine learning. With practical experience in developing machine learning pipelines for natural language processing and computer vision, he demonstrates proficiency in Python, Scikit-learn, and PyTorch. His work includes projects like the Indonesian Food Ingredient & Nutrition Analyzer, where he combined ResNet18 classification with web-mined supervision to enhance ingredient identification from images, achieving impressive accuracy improvements over baseline models. In the realm of sentiment analysis, Orlando analyzed Steam reviews for sentiment accuracy and constructiveness, achieving a high 86.7% accuracy using TF-IDF and Logistic Regression. His contributions extend to academia as a teaching assistant and mentor, guiding students in programming and business communication at the Faculty of Computer Science. Additionally, he has coordinated mentoring sessions for a data science academy, ensuring seamless communication between mentors and participants. Certified by DataCamp in data science, Orlando continues to excel in technical domains with a focus on data preprocessing, feature engineering, and model evaluation.