Ruobing Yan

Individual Project: Data Analysis Based on Tokyo Olympic Games - https://roubing.georgetown.domains/Ds501/Portfolio.html

08.2021 to 012.2021

• Cleaned and analyzed data in many different aspects of the Olympic game which includes economy, different sports competitions, public comments on the Olympic game, and so on. By using many machine learning techniques to answer the questions, such as clusters, ARM and Naive Bayes.
• Utilized the research results to make a web page and created a side-by-side interactive component to enable users to explore the data set by themselves.

Group Project: Vice-leader, Analysis of California Fire Incidents - https://ma415-project-team-c5.netlify.app

09.2020 to 12.2020

• Used R to crawl, clean, and filter historical wildfire activity statistics from 2013 to 2019 on the CAL FIRE official website, established a model to study the relationship between wildfire events and PM 2.5 content, and predicted wildfire events.
• Organized and assigned tasks as Vice leader, reduced work time by 50%.
• Utilized the research results to make a web page and created a side-by-side interactive component to enable users to explore the data set by themselves.

Individual Research: Data analysis of Taobao Snack Store Customers and Product Sales

04.2020 to 07.2020

• Obtained and processed the customer data and snack sales data of the snack stores and used k-means algorithm to divide the customers of the stores into different levels of category.
• Divided the characteristic attributes, established a Bayesian classifier to predict consumers’ purchase tendency of new snacks, and formulated different marketing plans for different categories of customers based on the results of analysis.

• [Google Analytics for Power Users] Training - [Issued Jan 2022. Expires Jan 2025]
• [Google Data Analytics Professional Certificate] Training - [In Progress]