I am a highly skilled Data Scientist and Machine Learning specialist with strong experience in building advanced Machine Learning, Deep Learning, NLP, LLM, and Optimisation based models and solutions. This expertise has been applied across a range of sectors, including Insurance, Health, Finance, Energy, and Cyber Security. My core competencies include managing data from collection through to modelling (sourcing, cleaning, manipulating, analysing, visualizing, and modelling of both structured and unstructured data), superior programming skills in Python and R as well as cloud technologies, AWS, Azure ML, Snowflake, and H2O-AI, leading NLP projects into production, and presenting analytics outcome in industry-led workshops and conferences with several articles at international conferences and journals. I am also passionate about learning technologies for big data and developing R&D initiatives. As an honorary researcher at RMIT, I am involved in research development in health outcomes predictions, transfer learning, and LLM as well as teaching and supervising post-graduate data science students. Furthermore, as the vice-chair of the IEEE Victorian Computational Intelligence Society, I organise industry seminars and workshops, and review and coordinate articles for conferences and journals. I am passionate about learning technologies for big data and developing R&D initiatives that can make a positive impact on society.