A traffic forecasting program for Asia's largest call center, Python

1 Performed data cleaning, exploration and used statistical modeling techniques for finding trends

2 Used Facebook’s prophet to decompose the seasonal trends (year, season, weekend, holiday) from time series and modeled residuals using historical weather features

3 Increased the accuracy of forecasting the call data using naive Bayesian classification model (95.6%)

Software Engineer Intern (Designed a blog system demo based on Spring Boot, Java)

1 Used bootstrap, thymeleaf, jQuery for front-end functions (user, blog, comment management)

2 Managed main data using MySQL and MongoDB for the unstructured data

3 Implemented the big data retrieval, classification search through Elasticsearch

1 Analyzed around ten popular learning management System software and selected Moodle as a tool

2 Modified the upload file restrictions and removed redundant functions based on user’s demand

3 UtilizedReact+Redux to render the web pages and process data between different components

4 Implemented basic functions such as user authentication, password reset, personal profile, user comments and image upload