Hey there, I'm Long!
Data Analyst & BI Graduate
Experienced across the government, NGO and F&B sectors.
Always finding ways to make data useful.
Tools I work with
See My Work
Featured Projects
MelEcoNest — Low-Carbon Lifestyle Platform
Agile capstone team project delivering a sustainability platform that helps Melbourne apartment residents reduce their carbon footprint. I designed the data architecture, governance and versioning approach, plus a Streamlit dashboard visualising team dynamics and feedback loops.
Solstice Assistant — AI Copilot for World Vision
Designed and deployed a production Microsoft Copilot Studio agent for World Vision Australia's FMNR team, helping field staff onboard to the Solstice.world data platform via conversational self-service inside SharePoint and Teams. Covered 15+ topics with grounded prompts and Adaptive Cards.
Applied Data Wrangling, ML & Deep Learning
Built and evaluated ML and deep learning models across structured and sequential datasets, including perceptron vs. neural networks, semi-supervised learning, and RNN/LSTM/Transformer architectures for text classification. Achieved Distinction across core subjects.
Research Publication
Co-authored study on digital transformation adoption in Vietnamese higher education, extending the UTAUT framework with Perceived Security across 5 universities. Published in the Journal of Economics and Sustainable Development (2021).
Selected Explorations
Smaller studies, experiments, and side explorations that reflect how I think through data, tools, and communication beyond larger portfolio projects.
SQL Server & Power BI - AdventureWorksDW
Working through joins, aggregations, window functions, and business-style queries to build stronger intuition for structured data analysis. In progress.
Bachelor Thesis - Factors affecting purchase intention of foregin dairy products in Hanoi
Led an individual research project about consumer behaviour using Theory of Planned Behaviour (TPB).
Statistical Data Modelling in R
End-to-end regression pipeline comparing linear, stepwise, GLM, decision tree, random forest, Lasso/Ridge, XGBoost, and neural network models on a Kaggle-style prediction task.
Video Communication
Short exploratory analyses focused on patterns, anomalies, and simple business questions using compact datasets.
Looker Studio
Redesigning Cost of Goods Tracking from Excel to Looker Studio for a restaurant during part-time work.
Contact Me
Master of Data Science, Monash University.
Open to analyst, reporting, and BI-focused opportunities.