From my Bachelor's degree on, I has observed and interpreted world by data analysis. I has participated many projects as a data scientist. Python, SAS, R and Stata are mainly used for analysis.
Who is a good congressman?
Proj_A tries to provide the statistics about activities of local council members in Korea for upcoming election in 2018. Using Python, I scrap web and PDF files to collect data and plan to share statistics based on Google sheet. Unlike national Assembly, Proj_A is a unique project to provide information local councils.
The code and Google sheet will be available soon.
Scrapping Job Posting From JOE
Checking JOE is daily routine job for econ job market candidate.
To reduce time and effort, I scrap whole job posting in JOE by Python.
The list is shared in Google sheet.
If you want to access Google sheet, please e-mail me.
The code is shared in Github.
Stock market provides huge data and easy to access. Usage of many stock market indicators, such as moving average and RSI, I analyzed the optimum trading strategy and price prediction. Especially, I supported Professor Kisuk Lee's patent process and application of stock price prediction and trade signals at Kyung Hee University.
As much as variety of crops and vegetables, farm industry provides various data set about production and trade. By comparison between different agricultural product, I analyzed the trend of Korean agriculture industry and impact of governmental policy. Especially, I worked at Science and Technology Policy Institute (STEPI) as junior researcher and wrote “Estimating Benefit and Cost of Agricultural R&D in Korea”
Baseball is known as a sport for data geeks. Like other data persons, I enjoy handling baseball data. I participated Project 100 which is the first research project about sabermetrics in Korea. In this project, I analyzed the impact of changing strike zone to Korean baseball players.