Real estate analytics for Queens
- Utilizing the NYC Real Estate Transaction dataset, sourced from Boston University, our group conducted a thorough comparison of six key performance indicators(KPIs) to get a general understanding.
- Chose 6 neighborhoods in Queens area, and utilizing EDA and Cluster Analysis, and Predictive Analytics (Time Series & Regression Forecasting) to predict a best neighborhood to open an office.
- Write a report and present.
Simulate operating a Brewpub Five Senses
- With team members, gradually conducted rent research, decoration designs, menu designs, salary estimates, cut off point settings, and ran cycles on a simulator provided by Boston University. We used analysis methods such as break even point, SWOT analysis, and PESTEL analysis to adjust the data, ultimately maximizing profits and write a report.
Develop the Classic Game Rock-paper-scissors
- Applied Python to program a simultaneous game with two players. Each player chooses one of rock, paper, or scissors, without knowing the other one's choice.
Attending Virtual Immersion Program
- Communicated with students from the University of Navarre in Spanish, get to know them, and take notes. Accomplished an essay about this experience.
Develop a Simple Number Guessing Game Program
- Employed Python to build a program that asks the user to guess a number against the computer.