Experience

Oct 2023 - Present Research Data Scientist at RMIT University

– Research supervisor of a PhD Candidate in Generative AI and LLM.
– Research and analytics in decision-dependent uncertainty.
– Lecturer for Data Wrangling for online students.

May 2021 - Sept 2023 Senior Data Scientist at Resolution Life

– Developed structured and unstructured end-to-end data models and ML pipelines.
– Service manager of AI cloud platform for NLP use cases (H2O) responsible for: uplifting the platform capabilities; integration with other platforms; deployment of NLP use cases.
– Worked with stakeholders and business experts for use-case developments (over 20 business use cases) and actionable business insights.
– Data engineering for AI use-cases: data pipelining using SQL and Python in Snowflake; deployment of AI models in Snowflake; building data models for quality and monitoring
checks; automation of pipelining processes.
– Predictive models for triage Income Protection claims, lapse and retention of customers.
– Developed POCs for use-cases including, but not limited to, customer surveys and complaints, Speech Recognition and AWS Transcribe output evaluation.
– Lead NLP analytics and R&D initiatives.

May 2020 - May 2021 Research Fellow at RMIT University

– Worked on Telstra Health and Digital Health CRC projects for business use-case developments, actionable insights and decision-making.
– Developed advanced Deep Learning and NLP-based business insights in Aged Care.
– Predictive models for hospital readmission, mortality and falls of aged-care residents.
– Author of a survey report on the secondary use of electronic health records, advanced Health Analytics, challenges and research gaps, published the outcome in “ACM Computing
Surveys”.
– Teaching staff for “Case Studies in Data Science” and “Practical Data Science with Python”, where 2 groups of my students were awarded the IEEE Victorian Section prize (out of 5
awards) for the best projects, November 2020.
– Minor thesis supervisor; published a paper with the student in a conference.

July 2019 - May 2020 Lecturer at Victorian Institute of Technology

– Developed analytics in education for students’ challenges and course materials quality.
– Seveloped and Re-developed data science course materials.
– Coordinated students’ industry-linked projects in advanced AI, cybersecurity and IoT.
– Lectured “Big Data”, “Business Analytics”, and “Software Testing and Quality Assurance

Dec 2015 - June 2019 Data Scientist at Transport Accident Commission

– Data analytics to develop and recommend business solutions to address the customers’ health outcomes, including their recovery and return to work.
– Developed predictive structured and unstructured data models.
– Developed NLP techniques such as tokenization, n-grams, lemmatization, Part-Of-Speech (POS) tagging, and Named Entity Recognition (NER).
– Developed Topic Modelling for customers mental health challenges, early identification of a mental risk in claims, and customer prioritisation.
– Developed Semantic Analytics for monitoring customers’ health conditions, including scoring pain, recovery and mentality.
– Developed a search engine tool as a claims search dashboard.
– Lead research initiatives and business use-case development.
– Published papers with industry leads.

Aug 2014 - Dec 2015 Research Fellow at Internet Commerce Security Laboratory (ICSL)

– Developed advanced ML, NLP, and optimisation algorithms at ICSL, a ceyber-security lab at Federation University, for actionable business insights in cybersecurity.
– Worked on projects from an Australian financial institution for phishing and spam analytics to stop unwanted emails and spam activities.
– Developed an optimisation algorithm for deeper solutions of cyber attack problems; over 70% of phishing were from limited sources, and published the report in “Neural Processing
Letters

Aug 2014 - Dec 2018 Lecturer & Course Coordinator at Federation University Australia

– Sessional Lecturer and Course Coordinator in software engineering, cybersecurity and cloud for face-to-face and off-campus students.
– Courses included: “Networking and Security”, “Information Security”, “Cloud Computing”, “Software Engineering Methodologies” and “Statistics”.
– Research in finance, health and energy.

July 2013 - Aug 2015 Lecturer - Online Teaching at Open Universities Australia

– Lecturer at the University.
– Taught mathematics and statistics courses for online students

Sept 2011 - Sept 2013 Research Fellow at The University of Adelaide

– Worked on an industry project in geothermal energy for modelling of fracture networks and connectivity in geothermal reservoirs.
– Developed Spatial Data Mining algorithms for a geothermal energy company, Habanero Geothermal, for modelling fracture networks and connectivity.
– Worked with business stakeholders, geo-statisticians and mining staff for business use-case developments and research initiatives.
– Collaborated with university and industry experts and published papers in geospatial data mining in geothermal energy applications.