Jih-Hung Huang

Jih-Hung Huang has a solid background in machine learning and data science. Jih-Hung started their career at Yunbroadcast Textile Co., Ltd as an intern, where they gained experience in start-up valuation and financial analysis. Jih-Hung then interned at Teach for Taiwan, where they focused on financial analysis and maintaining the donation system.

In 2017, Jih-Hung joined CTBC Bank as a Data Scientist, working until 2022. During their time there, they developed a strong knowledge of data analysis and problem-solving skills.

Most recently, Jih-Hung joined Pinkoi in March 2022 as a Machine Learning Engineer. In this role, they successfully implemented a Word2Vec model, boosting CTR by 20%. Jih-Hung also designed a cross-entity recommendation system using the random walk algorithm, improving buyer engagement on the platform.

Overall, Jih-Hung Huang's work experience demonstrates their proficiency in machine learning, data analysis, and problem-solving.

Jih-Hung Huang received their Bachelor's degree in Engineering/Finance from National Tsing Hua University in 2016. Jih-Hung then pursued further education and obtained their Master's degree in Industrial Engineering from the same university in 2020. Prior to that, Jih-Hung attended Jhih-Hsin Junior High School from 2009 to 2012.

In addition to their formal education, Jih-Hung also acquired several certifications. Jih-Hung completed the "Machine Learning Data Lifecycle in Production" course offered by Coursera in May 2022. Before that, they completed the "Introduction to Machine Learning in Production" course in April 2022. Jih-Hung also completed the "How Google does Machine Learning" course in September 2019 and the "Launching into Machine Learning" course in August 2019, both provided by Coursera.