I'm Felix Lai, a data analyst, modeller, and engineer based in Melbourne. I hold a Master of Data Science and a Bachelor of Computer Science (Data Science) from Swinburne University of Technology. I translate complex datasets into clear, actionable insights and build the models and pipelines that make those insights reliable and repeatable. I've delivered end-to-end analytics across client and research partner projects, including predictive health modelling, multi-source NLP sentiment analysis, and LLM-augmented property price forecasting. I'm proficient in Python, SQL, scikit-learn, NLP (NLTK, spaCy, transformers), Excel, Power BI (DAX), AWS, and Git, and I work in Agile teams using Jira and Confluence for backlog management and documentation.

Felix Lai

I'm Felix Lai, a data analyst, modeller, and engineer based in Melbourne. I hold a Master of Data Science and a Bachelor of Computer Science (Data Science) from Swinburne University of Technology. I translate complex datasets into clear, actionable insights and build the models and pipelines that make those insights reliable and repeatable. I've delivered end-to-end analytics across client and research partner projects, including predictive health modelling, multi-source NLP sentiment analysis, and LLM-augmented property price forecasting. I'm proficient in Python, SQL, scikit-learn, NLP (NLTK, spaCy, transformers), Excel, Power BI (DAX), AWS, and Git, and I work in Agile teams using Jira and Confluence for backlog management and documentation.

Available to hire

I’m Felix Lai, a data analyst, modeller, and engineer based in Melbourne. I hold a Master of Data Science and a Bachelor of Computer Science (Data Science) from Swinburne University of Technology. I translate complex datasets into clear, actionable insights and build the models and pipelines that make those insights reliable and repeatable.

I’ve delivered end-to-end analytics across client and research partner projects, including predictive health modelling, multi-source NLP sentiment analysis, and LLM-augmented property price forecasting. I’m proficient in Python, SQL, scikit-learn, NLP (NLTK, spaCy, transformers), Excel, Power BI (DAX), AWS, and Git, and I work in Agile teams using Jira and Confluence for backlog management and documentation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Inventory Specialist at Coles Local
November 1, 2022 - Present
Daily/weekly ordering across fresh and grocery; set and refine par levels using POS trends, seasonality, promos, and local events to minimise stockouts and waste. Run cycle counts, reconcile variances, and coordinate with distribution centers and suppliers on shortages/substitutions; enforce FIFO and date-code checks for quality and compliance. Support planograms, back-of-house process improvements, and on-shelf availability tracking.
Team Member at Coles Supermarkets
January 1, 2022 - Present
Built first-hand understanding of retail operations, customer purchasing behaviour, and inventory management across 2+ years in a high-volume store environment — directly informing analytical work on demand forecasting, sales trend analysis, and operational reporting. Participated in regular inventory counts and stocktakes, developing knowledge of stock discrepancy identification, data accuracy requirements, and the operational relationship between physical inventory and system records.

Education

Master of Data Science at Swinburne University of Technology, Melbourne
January 11, 2030 - December 16, 2025
Master of Data Science (coursework) at Swinburne University of Technology
January 1, 2024 - January 1, 2025
Bachelor of Computer Science (Major: Data Science) at Swinburne University of Technology
January 1, 2021 - January 1, 2023

Qualifications

Infosys Sustainability Hackathon - Honourable Mention
January 11, 2030 - December 16, 2025
dbt Fundamentals
January 1, 2026 - May 1, 2026

Industry Experience

Retail, Software & Internet, Professional Services, Media & Entertainment, Education, Healthcare