I have graduated from Swinburne University with a bachelor degree in Data Science in 2022, with a GPA of 3.75/4. During my course, I worked as a Study Group Leader for Statistics unit, to mentor students in that unit.
After that, I got an internship in CSIRO's Data61, for a research project to summarise Cyber Threat Intelligence reports.
I have graduated from Swinburne University with a bachelor degree in Data Science in 2022, with a GPA of 3.75/4. During my course, I worked as a Study Group Leader for Statistics unit, to mentor students in that unit.
After that, I got an internship in CSIRO's Data61, for a research project to summarise Cyber Threat Intelligence reports. I have been able to continue with this project, as a Honours student up until now.
I always focus on details, which I use to fix problems timely and efficiently in my work. I work well under pressure and can produce high-quality work in short periods of time.
My technical skills include Python and R for data science tasks, Graphviz and D3.js for visualisations; as well as Tableau and Power BI for data analytics.
I am looking for an opportunity to work with other data scientists, and apply my skills for real-world projects. I want to align myself with a company I believe in and where I can create positive change. I am always looking to learn more about latest progress in AI, especially about natural language processing; and I am open to taking on challenging projects.
A self-made mod for the game Victoria 3 (a game about XIX century by Paradox Interactive). Currently the mod has 93 subscribers in Paradox Mods.
Links:
- Reddit (for introduction of the project): https://www.reddit.com/r/victoria3/comments/13vcl3y/my_new_mod_for_13_population_growth_and_resources/
- Paradox Mods: https://mods.paradoxplaza.com/mods/62923/Any
- GitHub: https://github.com/hoangcuongnguyen2001/Victoria-3-Resources-and-Pop-Mod
A project to analyse the risk, return, optimal portfolio based on 6 stocks in S&P 500 (Tesla, Apple, Google, Microsoft, Nvidia, Amazon). This could be used for any stocks and in the future, a model to predict stock return could be added.
Languages and Technologies: Python, yfinance.
Link (code): https://github.com/hoangcuongnguyen2001/Stocks-Analysis
Group project for analysing sentiment of social media (Twitter and Reddit) users, by processing
tweets and create visualisations, such as word cloud and pie chart of sentiments.
Languages and Technologies: R, Python, Shiny.
Link: https://1e2sas-hoang0cuong0nguyen.shinyapps.io/group18sentimentanalysis-main/
Project for visualising and building models (logistic regression, random forest classier,
gradient boosting, perceptron) to predict income of American adults, based on US Census
1994 data.
Languages and Technologies: Python, Scikit-learn, Matplotlib.
Link (code): https://github.com/hoangcuongnguyen2001/Income-Analysis
Group project for visualizing the food waste situation in Australia, including the comparison
between Australian states and between Australia and dierent countries. Interactive features
including data ltering and detail-on-demand.
Languages and Technologies: HTML/CSS, D3.js.
Links:
- Website: https://foodwasteaustralia.netlify.app/
- GitHub: https://github.com/hoangcuongnguyen2001/Food-Waste-Visualisation
Copyright © 2023 Hoang Cuong Nguyen - All Rights Reserved.
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