Experience

Port of Brisbane Pty Ltd

• Australia
• Maritime Transportation
• 100 - 200 Employee

• Information Analyst

  • Aug 2021 - Present



BPA Analytics Pty Ltd

• Assistant Research Analyst

  • Nov 2020 - May 2021

  Key Accountabilities: • Tracked and oversaw daily analytical processes within the current reporting pipeline to ensure that deliverables were completed as per agreed timeframes with clients. • Collated, organised and assembled data from various sources as required for reporting projects. • Carried out quality checks on alternative reporting platforms, such as Power BI and PowerPoint presentation decks, identifying discrepancies in data and immediately escalating these to the supervisor. • Designed and customised electronic surveys as per client specifications, ensuring that survey questions were complete to guarantee that collected data were accurate, interpretable and generalisable. Key Achievements: • Mapped out and documented current analytical procedures, proactively identifying deficiencies and recommending strategies to rectify problem areas within the reporting pipeline. • Independently designed up to seven online surveys, drawing on technical proficiency in web development and creation of JSON and ASPX files while learning an open-source language (TypeScript) within a short timeframe. • Recognised for successfully developing and implementing the database dependency project using SQL and VBA.



Korea Advanced Institute of Science and Technology

• South Korea
• Higher Education
• 700 & Above Employee

• Analytical Researcher (Human & Computer Interaction)

  • Nov 2015 - Jun 2019

  Key Accountabilities: • Oversaw all aspects of research projects including developing research plans, managing budgets and resources, defining goals and timelines, and reporting progress and milestones to internal stakeholders. • Assumed complete ownership for resolving issues that might affect the timely delivery of research projects, as well as for identifying future projects that might emerge from current studies. • Produced high-quality research reports for dissemination to the wider academic and/or scientific community. • Contributed to the oral and written dissemination of research findings, including visualising data using MS Office, Python and R, as well as presenting at various seminars within the ICLab. • Contributed to knowledge transfer activities by facilitating regular scientific meetings to share research results with other graduate students. • Proactively identified improvement areas within the research structure while also preparing technical reports to ensure the preservation of scientific rigour in each research project. • Cultivated and maintained relationships within and outside the institution to foster collaboration. Key Achievements: • Proposed a prototype crowdsensing system for identifying risky mountain trail segments by aggregating real-world data, such as motion sensors and locations from different hikers; the joint work was published at a leading conference (ACM International Joint Conference on Pervasive and Ubiquitous Computing 2017). • Implemented an android app prototype for detecting aggressive and risky driving habits; subsequently presented the work as an extended abstract at a major conference (CHI: Conference on Human Factors in Computing Systems 2017). • Demonstrated advanced organisational, multitasking and prioritisation skills, seamlessly juggling the competing demands of course projects, academic exams and other activities associated with the end-to-end management of research projects within the ICLab.



Okinawa Institute of Science and Technology Graduate University (OIST)

• Visiting Researcher

  • Sep 2017 - Feb 2019

  OIST is a multidisciplinary graduate school in Okinawa, Japan. Whilst I was continuing my research at KAIST remotely, I visited OIST for 18 months to extend my knowledge about Neural Networks and application of Deep Learning (Specifically RNNs) for HCI purpose. OIST is a multidisciplinary graduate school in Okinawa, Japan. Whilst I was continuing my research at KAIST remotely, I visited OIST for 18 months to extend my knowledge about Neural Networks and application of Deep Learning (Specifically RNNs) for HCI purpose.