Xiaoou Zhou

Skilled in a variety of programming languages, including follows:

• C++: Extensive experience in algorithm competitions over several years.
• Java: Developed multiple extracurricular projects.
• Python: Utilized primarily for academic projects, such as machine learning and data mining.
• Objective-C: One year of professional iOS development experience. MATLAB and SQL: Familiarity gained through academic projects.

Skilled in a variety of related technologies, including follows:

• Algorithms: Proficient in utilizing common algorithms, with a strong background in algorithmic problem solving from competitive programming.
• Computer Systems: Good understanding of computer system architectures and operating systems, gained from both academic study and practical application.
• Machine Learning: Hands-on experience with machine learning techniques, used primarily in academic projects.
• Data Mining: Applied skills in data mining, capable of extracting valuable insights from large data sets, primarily through Python.

• The 2023 ICPC Northeast North America Regional Contest Gold Medal (1st place in NY)
• The 2019 ICPC Asia Regional Contest EC-Final Gold Medal
• The 2019 ICPC Asia Regional Contest Nanjing Site Gold Medal
• The 2018 ICPC Asia Regional Contest EC-Final Gold Medal
• The 2018 ICPC Asia Regional Contest Jiaozuo Site Gold Medal
• The 2017 ICPC Asia Regional Contest EC-Final Gold Medal
• The 2017 ICPC Asia Regional Contest Shenyang Site Gold Medal
• China National Olympiad in Informatics 2016 Gold Medal

• Game Mod Development for "Slay the Spire":
  Developed a mod for the popular game "Slay the Spire" using Java, which introduced a new character along with unique mechanisms and a set of cards.
  Successfully published the mod on Steam's Workshop, enhancing game interactivity and player experience.
  Project Repository: https://github.com/noname512/nearlmod

• Data Mining Course Project:
  Conducted an analytical project using a dataset from Kaggle related to tweets prior to the 2020 U.S. Presidential Election.
  Employed existing NLP models to analyze sentiment, emotion, and stance of each tweet.
  Performed statistical analysis and data visualization using Python, uncovering notable patterns and insights.

• Part-Time Algorithm Competition Coach (January - July 2023):
  Taught fundamental algorithms to a group of approximately 20 students, focusing on principles essential for competitive programming.
  Fostered problem-solving skills and algorithmic thinking, preparing students for various levels of algorithm competitions.