Hoang Cuong Nguyen

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Hoang Cuong Nguyen

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Hoang Cuong Nguyen

Hoang Cuong NguyenHoang Cuong NguyenHoang Cuong Nguyen
Contact Me

Get to know me!

Hoang Cuong Nguyen

Hoang Cuong NguyenHoang Cuong NguyenHoang Cuong Nguyen
Contact Me

A Honours student in Data Science at Swinburne University, passionate about applying latest progress in AI and data research for real-world problems.

About Me

My Experience

My Experience

My Experience

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.

My Skillset

My Experience

My Experience

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. 

My Goals

My Experience

My Goals

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.

Resume

Cuong_s_CV (pdf)Download

My Projects

Population and Resources Mod (May 2023 - June 2023).

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

Stock Market Analysis (February 2023 - March 2023)

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

Sentiment Analysis on Social Media (March 2022 - November 2022)

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/

US Census Income Analysis (August 2021 - October 2021)

Project for visualising and building models (logistic regression, random forest classi er,

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

Interactive Visualisation of Food Waste problem in Australia (March 2021 - June 2021)

Group project for visualizing the food waste situation in Australia, including the comparison

between Australian states and between Australia and di erent 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


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Hoang Cuong Nguyen

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