cubatlin / ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

💡 Nĭ Hăo 👋 my name is Ethan & I'm a Data Scientist based in TW!

I'm dedicated to solving real world problems(NLP/Anomaly Detection/Graph) by machine learning!

🎙️ Activities 👯

• Data Science: With 5+ years of data science experience (NLP/Graph/ML) specializing in the development of scalable and efficient end-to-end ML pipelines in multiple sectors(banking/insurance/financial holding/securities/e-commerence).
• Data Engineering: Sever administrator & ETL main engineer, invent transcode system between SAP HANA and SAS.
• Professional Certification: Fellow, Life Management Institute, LOMA / Associate, Customer Service, LOMA.
• Lecture speaker of How can data science be used in Insurtech? @Tung-Hai University / AI Competition Solutions sharing @Cloud Innovation School.
• Author of 【Shopee Code League】2020蝦皮數據競賽系列賽參賽心得&亞太區15th做法分享 to apply strategic ml methods(NLP/CV) in e-commerce industry.

✏️ Honors 🏆

《Shopee Code League 2021(open category)》

• Top 30 teams of over 15000 participants.

《I'm the Best Coder! Challenge 2020(open category)》

• 5th in User Spending Prediction.

《2020 Shopee Code League- series of Kaggle competition in Asia-Pacific(open category)》

• 15th in Sentiment Analysis(NLP task).
• 23th in Product Title Translation(NLP task, BLEU score: 40.5).
• 23th in Marketing Analytics(Recommendation forecasting task).
• 47th in Order Brushing(accuracy:0.9779).
• 67th, score 0.81 accuracy in Product Detection(Computer Vision task).

《2019 autumn E.Sun Bank AI open competition- credit card fraud detection》

• 2nd of final selected 20 teams in business solutions competition.
• Led team of 5 to achieve top 1%(15/1366) in F1 score predict competition.

📝 GitHub Stats 💻

📫 How to reach me 💬