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孫郁喬
Machine Learning Engineer/Data Scientist
我目前在CloudMile擔任Machine Learning Engineer，個人在機器學習的領域上有六年以上實作經驗，在CloudMile的工作內容為使用機器學習、資料探勘等技術來幫助客戶導入機器學習技術與優化廣告投放的效率和減少成本. 曾參與深度學習使用者行為預測，廣告投放效益預測，自動生成廣告文案等模型設計與後端平台API的開發. 另外也負責大型OCR發票辨識系統的後端開發與維護.
CloudMile_萬里雲
National Taiwan University of Science and Technology
Taipei City, 台灣
Professional Background
- 現在の状況就職中
- ProfessionData Scientist
- Fields
- 職務経験4〜6年 (4〜6年関連の実務経験)
- Managementなし
- Skills
- LanguagesEnglish・中級者
- Highest level of educationMaster
Job search preferences
- Desired job typeフルタイム・リモートワークに興味あり
- Desired positionsData analyst, Machine Learning engineer.
- 希望の勤務地Taipei City, Taiwan
- Freelance非フリーランス
Work Experience
Data Scientist/Machine Learning Engineer
1. 設計與實作自動生成文案演算法，加快廣告投放的創作文案速度.
(Python, PyTorch, MsSQL, GCP)
2. 建置推薦與預測系統於MarTech領域, 提供使用者廣告投放效益預測.
(Python, Keras, MsSQL, GCP)
3. 開發OCR發票辨識系統，提供使用者拍攝實體發票並即時儲存相關資訊.
(Python, MsSQL, CloudRun, GCP)
4. 設計與開發影像分析系統於Google Cloud Platform.
(Python, MsSQL, GCP DataStore, GCP Cloud Function)
Kaggler
- 2020 Black Friday Sales Prediction Top 1% in 23068 teams
- 2018 Data Science Bowl Top 4% in 3634 teams
- TalkingData AdTracking Fraud Detection Challenge Top 16% in 3967 teams
- House Prices: Advanced Regression Techniques Top 8 % in 4417 teams
SR. SOFTWARE ENGINEER
• 智慧家電推薦系統平台設計與建置，以API即時提供深度學習模型預測結果. (Python, mongoDB, Azure Cloud Service)
• 設計Recurrent Neural Network架構與特徵工程演算法預測消費者行為. (Python, Pandas, Scikit-learn, Tensorflow, Keras)
• 運用最新機器學習演算法預測使用者使用產品之行為並達到90%準確率.
(Python, Pandas, Scikit-learn)
• 智慧家電Chatbot後端平台之開發，使用者可透過LINE直接操作家中的電器，省去使用智慧家電APP操控. (Golang, Heroku, PostgreSQL, Line Chatbot, Azure Cognitive Services)
• 建立OTA系統後端開發，讓使用者可以隨時更新韌體.(PHP, MySQL)
Education
Master’s Degree
・
Computer Science詳細
• 主修Machine Learning，著重於使用者行為分析預測與智慧型環境監控系統.
• 蒐集並分析智能環境資料，並預測人類活動和環境條件.
• 畢業論文 : Model Decomposition for Activity Recognition and Reasoning.2015