Skip to content
View xin4869's full-sized avatar
๐Ÿ‘‹
๐Ÿ‘‹

Block or report xin4869

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
xin4869/README.md

Hi there ๐Ÿ‘‹

Welcome to my profile! I'm currently doing my master degree at Aalto University. I major in Business Analytics and minor in Computer Science. I enjoy writing codes and developing games.

Skills (Level)

  • Programming languages: Python (4/5), C (4/5), C++(4/5), Scala(4/5)
  • Machine learning: Scikit-learn, Seaborn, NumPy, Pandas, Matplotlib libraries
  • Database management: SQL (5/5)
  • Business Intelligence: Tableau (4/5), PowerBI (3/5)

Projects (Complete time)

  • Angry Birds game(11-12.2024): A clone of original angry birds game. Used Box2D and SFML.
  • Text-based adventure game(11.2024): An escape room type text-based adventure game. Players solve puzzels to collect items and unlock new story plots.
  • Robot cleaner simulation(04.2024): A vacuum cleaning robot simuation. Used PyQt.
  • Covid-19 vaccine database design(06.2023): Designed a COVID-19 vaccine database to keep track of different vaccine types, transportation of vaccine batches, treatment plans, and patient data. Performed ETL using SQL and Python.
  • Mortgage loan approval preidciton(10.2022): Predicting whether the mortgage loan application will be approved.

Mini programs (Complete time)

  • Maze game(11.2023): A small maze game - The player loses a point for each step, but can gain more points by finding treasures in the maze.
  • Dots and boxes game(12.2023): A python program which creates a dots and boxes game for two players.

Machine Learning notebooks (repo)

  • Revenue sensitivity analysis (Quantile regression)
  • Image classification (Convolutional Neural network - VGG19)
  • Natural language processing - Rating prediction (Naive Bayes Classifier & BERT transformer)
  • Explainable AI (SHAP)

Popular repositories Loading

  1. xin4869 xin4869 Public

  2. covid-19-vaccine-database-design covid-19-vaccine-database-design Public

    Python

  3. mortgage-loan-approaval-prediction mortgage-loan-approaval-prediction Public

    Jupyter Notebook

  4. maze_game maze_game Public

    Python

  5. Dots-and-Boxes-game Dots-and-Boxes-game Public

    Python

  6. Robot-cleaner-simulation Robot-cleaner-simulation Public

    Python