//assets.cakeresume.com/assets/contentarea/contentarea-2d64eca8dae2a1ffb31e0fb1df887bbad072c7c19734d7d30fa14884bbcc299a.css

代表疾管署參加衛福部資料分析黑客松競賽，以自動化資料抓取以及機器學習預測模型，並透過多樣化的資料視覺化，如GCP的looker studio、power BI等互動式報表呈現，在最終決賽日獲得「最佳分析獎」以及「優選」。

Looker Studio網址:https://lookerstudio.google.com/reporting/6cac2633-e1de-467e-b92a-a74d21f51caa

資料分析黑客松競賽

衛生福利部疾病管制署 Data Analyst

林尚毅

本作品集延伸我在臺北大學統研所的「迴歸分析」課程期末報告，希望透過Power BI便利且多樣的呈現方式，延伸針對各國家「COVID-19與肥胖率」、「攝入食物分析」以及「迴歸分析」這三個面向來進行探討分析，透過視覺化的角度，在同一份資料集中嘗試找出不同的見解！

【Power BI】COVID-19與肥胖率之關係

Web Scraping in Python

DataCamp

Winning a Kaggle Competition in Python

Object-Oriented Programming in Python

Python Data Science Toolbox (Part 1)

Data Structures and Algorithms in Python

SQL I

LeetCode

Hi, I'm Joe Lin, a passionate Data Analyst currently contributing to the Taiwan Center for Disease Control (CDC) in Taipei, Taiwan. With a Master of Science in Statistics from National Taipei University, I specialize in utilizing machine learning and data analytics to enhance public health initiatives.

National Taipei University

National Cheng Kung University

林尚毅 Hi 我是尚毅，目前任職於疾病管制署擔任資料分析師，平時工作主要處理流感疫苗施打預測、建立自動化流程處理每日所需報表、設計互動式報表如PowerBI或GCP的Looker studio以輔助決策等等。我也曾代表CDC參加由衛福部主辦的資料分析黑客松競賽，以流感疫苗施打預測為主題，在最終...

My CakeResume

衛生福利部疾病管制署

Data Analyst（研發替代役）

嗨👋我是尚毅，也可以叫我Joe，目前在CDC擔任data analyst，歡迎一起交流！

．Trained machine learning models to predict flu vaccine recipients for 2023 with 98% accuracy.
．Constructed the Campus Influenza Vaccination System (CIVS), including system logic and designing export data formats.
．Programmed data corrections in CIVS, improving data accuracy from 80% to 95%.
．Conducted audits of the flu vaccine administration fee system, handling approximately 4 million data entries biannually.
．Automated daily report generation, reducing report preparation time from 30 minutes to 5 minutes.
．Estimated the number of high-risk chronic disease patients by processing over 100 million outpatient records annually from the Ministry of Health and Welfare's data center.

Share