I am a data scientist at LyncLab, a leading company in maritime analytics and optimization. With over four years of experience in data science and machine learning, I have developed and implemented robust data pipelines and solutions for various domains, such as maritime safety, risk assessment, navigation and simulation.My mission is to leverage my skills in Python, SQL, BigQuery, Airflow, and Google Cloud Platform to create efficient and scalable solutions that enable seamless integration and analysis of gigabytes of maritime data. I have also collaborated with cross-functional teams and major Malaysian ports, such as Port of Tanjung Pelepas and Port Klang, to provide data-driven insights that enhance port performance and efficiency. I have a proven track record of developing machine learning models that can extract nuanced vessel behaviors, such as anchoring and berthing, from extensive and varied datasets spanning multiple years. I am passionate about applying data science and machine learning techniques to solve real-world problems and optimize maritime operations.