Data Scientist
CurrentDesigned and implemented robust data pipelines for Lynclab's maritime analytics database and processing framework using Python, SQL, BigQuery, and Airflow. Created efficient and scalable solutions, ensuring seamless integration and analysis of gigabytes of maritime data. Implemented data-driven solutions and utilized advanced machine learning models, statistical, geospatial and temporal analytics skills to enhance decision-making processes and optimize port operations in with major Malaysian ports like Port of Tanjung Pelepas and Port Klang. Developed machine learning models proficient in extracting nuanced vessel behaviors, including anchoring and berthing from extensive and varied datasets spanning multiple years . Proficient in data visualization using Python libraries such as Seaborn and Matplotlib for static visualizations, and Superset for dynamic data representation. Delivered end-to-end data science solutions, excelling in analyzing complex problems, designing effective models, extracting meaningful insights and presented to stakeholders. Demonstrated a holistic approach by building models, optimizing databases, and streamlining analytical processing frameworks to drive successful business outcomes.