ts01174755 Goto Github PK

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)