Designed 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.

Applied GIS techniques to visualize and interpret spatial patterns, enhancing the understanding of maritime traffic dynamics in key areas of interest. Played a crucial role in formal safety assessments for offshore and maritime installations, providing data-driven insights to support decision-making processes. Collaborated with cross-functional teams to integrate data science solutions into existing risk assessment frameworks, ensuring a comprehensive and accurate analysis. Instructed and facilitated marine navigation simulation courses, specializing in the utilization of Wartsila Navigation Simulator NTPro to create realistic waterway scenarios, effectively testing and enhancing navigation safety measures.

Authored "Neural Network-Based Muscle Torque Estimation Using Mechanomyography during Electrically-Evoked Knee Extension and Standing in Spinal Cord Injury" published in Frontiers in Neurorobotics Research on "Muscle Fatigue Monitoring using Mechanomyography in FES-Evoked Contractions and Standing among Individuals with Spinal Cord Injury" was presented in Rehabweek London 2017Planned and perform experiments on spinal injured patients primarily with mechanomyography sensors and funtional electrical stimulator.Problem solve with matlab - signal processing, statistical analysis, regression analysis.Coauthored "Electrically Evoked Wrist Extensor Muscle Fatigue throughout Repetitive Motion as Measured by Mechanomyography and Near-Infrared Spectroscopy" published in Biomedical Engineering / Biomedizinische Technik (BMT) and "Muscle Oxygen Saturation Correlates with Muscle Mechanomyography during Prolonged Electrical Stimulation-Evoked Wrist Extension Exercise" presented at The 10th International Conference on Robotics, Vision, Signal Processing & Power Applications (ROVISP2018), Penang

Perform planned preventive maintenance on medical equipmentInvestigate breakdowns of the medical equipment