Dec 2023 - Skill application: Python, Data Transformation, Data Visualization, Data Analysis
- Transformed CSV dataset to JSON using Python, ensuring enhanced compatibility and structure for future analyses.
- Visualized average air quality indicators across NYC neighborhoods, aiding easy interpretation of trends.
- Conducted statistical and temporal trend analyses to inform targeted pollution control strategies and interventions.
Library Team Project - AI for Research in Library for Undergraduates
Oct - Nov 2023 - Skill application: Teamwork, Analysis, Experimental Research
- Completed a project on the use of AI tools to assist undergraduates with library research and writing academic papers
- Assessed output quality with/without AI
- Proposed recommendations on AI instruction to improve student experience
Apr - May 2023 - Skill application: R, Data Visualization, Data Analysis
- Performed statistical analysis and modeling in R to uncover insights on gender disparities.
- Utilized advanced statistical techniques, including linear regression models, hypothesis tests and data visualizations, to quantify and validate the data.
- Drew actionable conclusions from data to address real-world issues.
Apr - May 2023 - Skill application: Python
- Implemented and analyzed different versions of priority queues, including node-based and list-based, to compare data structure performance.
- Developed testing framework to quantify algorithm efficiency through empirical analysis.
- Validated Big O theory through systematic data gathering and analysis of queue operation complexity.
Feb 2023 - Skill application: HTML, CSS
- Created a multi-page responsive website using HTML and CSS to display projects and information.
- Designed visually appealing pages with CSS styling and implemented consistent navigation menu.
- Ensured accessibility through well-formed semantic HTML, alt text for images, and responsiveness across devices using media queries and percentage-based widths.
Dec 2022 - Skill application: Python
- Created Player and Card classes using OOP principles to encapsulate game data and logic.
- Implemented core Python data structures like lists and dictionaries to represent deck and hands.
- Incorporated key programming concepts including functions, loops, conditionals to enable complete gameplay.
Dec 2022 - Skill application: R, Data Analytics
- Research and Analysis paper on a csv-format dataset on TidyTuesday about Video Games
- Provide sufficient evidences for the analysis (various graphs and summarised data)
Nov 2022 - Skill application: Python
- Implement a basic Hangman Game version Snowman
- A real Hangman Game with adequate functions and rules
Oct 2022 - Skill application: Python
- Implement a number guessing games for 2 players alternatively
- Game functions: let 2 players take turns, 3 guesses for each, prevent players from guessing
the same number a second time