Dimas Pasha Akrilian

I’m an aspiring Data Analyst and undergraduate student in Statistics and Data Science, driven by data analysis, machine learning, and applying technology to solve real problems. I’m known for analytical thinking, problem-solving, teamwork, and continuous technical learning through academic work and active student involvement.

In organizational roles, I supported environmental awareness programs and sustainability initiatives by helping plan activities, coordinate teams, and ensure smooth execution. I also contributed to robotics projects—assisting in development, assembly, and testing—then supported integration and troubleshooting with a software team for VTOL drone systems.

My projects reflect practical, competition-ready modeling and careful evaluation. I worked on EcoSentra’s monitoring website for tree species classification, built a health insurance claim prediction pipeline using Exponential Smoothing, LightGBM, and Optuna, and developed an ALL image classification pipeline that compares CNN and Transformer models with stain normalization, augmentation, class imbalance strategies, and patient-level data leakage prevention.