Always recognize that "machine learning" is a means to your end, not an end in itself.
- Data Scientist: With 4+ years Data Scientist experience in financial industry.
- Claim-repurchase model(Forecasting task).
- High-value users(Feature Engineering, cluster & classification).
- Defining Family through "insurance benefit asociated network" (Graph/DFS).
- Side project : "Online Learning Platform" (During epidemic)
- "ETL Engineer" & "Data Engineer": Building data warehouses of students, teachers, recruitments ...etc.
- Lecture speaker of 'How can data science be used in Insurtech?' in NTOU.
《2019 autumn E.Sun Bank AI open competition- credit card fraud detection》
- 2nd of final selected 20 teams in business solutions competition.
- Top 1%(15/1366) in F1 score predict competition.
《2020 Shopee Code League- series of Kaggle competition in Asia-Pacific(open category)》
- 14th in Sentiment Analysis(NLP task).
- 34th in Product Title Translation(NLP task).
- 38th in Marketing Analytics(Recommendation forecasting task).
《2020 Shopee Challenge 2020 - User Spending Prediction》
- 5th in User Spending Prediction.
《2021 Shopee Code League - Address Elements Extraction》
- Top 10% in Leaderboard.(101/1034)
