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Hi there, I'm Hung πŸ‘‹

I’m a data lover who enjoys exploring how data can leverage businesses and how we can tell compelling stories from it. Through my studies in Data Science (major), Statistics, and Economics (minor), I have developed the core skills necessary to excel as a Data Analyst. However, I am not content with merely acquiring theoretical knowledge and understanding. I aspire to apply my expertise and abilities to real-world situations and challenges. That is why I am keen to obtain practical experience and further refine my skills in the field of data analysis. I am confident that with our collaboration, I can become a true data practicioner who tells great business stories out of data. I’m excited and open to any opportunity to demonstrate my ability and contribute to your team!

Some quick recap information about me:

  • πŸŽ“ I’m currently a second-year in Data Science, Aalto University, Espoo, Finland.
  • 🀝 I’m looking to collaborate on the data analysis position. I would most perfer to work in the mobile game industry. To pursue the career, I have achieved a solid proficiency in Python/R/SQL, proper training in Advanced Statistics, Machine Learning, Information Visualization, Bayesian methods and a good understanding of economics.
  • 🌱 I would usually brainstoorm many ideas for cool projects I can work on to improve my skills as a hobby.
  • πŸ’¬ Besides data, I am also interested in NLP modelling and front-end web designing. (I used to be a ReactJS developer)
  • πŸ“¬ Please reach me at: βœ‰οΈ [email protected] / ☎️ +358 40 363 8661 for work inquiry.

If you want to learn more about me, please do check out my work attached below!

Hung Nguyen's Projects

covid-19-dashboard icon covid-19-dashboard

Implement an interactive data-dashboard, displaying and visualizing time-series Covid-19 situation in Finland using ScalaFX.

credit-risk-analysis icon credit-risk-analysis

Study the risk of default on a debt of a loan based on customer's features using R and Stan.

h1st icon h1st

H1st AI solves the critical β€œcold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This problem has caused most industrial-AI projects to fail.

lifetime-value-analysis icon lifetime-value-analysis

Perform data analysis regarding the revenue and LTV of a hypothetical mobile game sqlite3 database using R and SQLite.

phishing-detection icon phishing-detection

Detect phishing websites with Logistic Regression and Support Vector Machine using Python and scikit-learn.

player-retention-analysis icon player-retention-analysis

Perform data analysis to identify hidden issues of a hypothetical mobile game Snowflake database using R and SQL.

steamcrawl icon steamcrawl

A package that helps extract Steam store and community market data as pandas DataFrame for better readability and usability for research purposes.

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