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Deep Reinforcement Learning Nanodegree

Udacity

Computer Vision Nanodegree

Deep Learning Nanodegree

Big Data Essentials: HDFS, MapReduce and Spark RDD

Coursera

Machine Learning Engineer Nanodegree

Rooted in product development/marketing background, but equipped with data science skills, including Visualization, ML, DL, and Data ETL.

National Taiwan University

Natural Taiwan University

Data Analyst

Tom Lin

Grindr

(1) 大數據用戶行為分析，包含：客戶存留分析、轉換率、互動強度、離群/極端行為分析
(2) Data Model設計：包含資料欄位定義，串接API資料，並且進行資料ETL
(3) BI工具維護：建構與維護Looker Model

(1) User behavior analysis on large data scale: Topics include customer churn analysis, conversion, interaction, outlier detection etc.
(2) Data model design: Table definition, API data pull, and data ETL.
(3) BI tool maintenance: Develop and maintain Looker Model.

台灣台北市

(1) 協助半導體客戶建置深度學習瑕疪檢測模型，工作細項包含：專案規劃、資料前處理、模型調參與成效驗證

(1) Develop and deploy DL defect detection model for clients in semi-conductor industries. Responsibilities include: project planning, data preprocessing, model fine-tuning and validation.


台灣台中市

KLA-Tencor

AI Engineer

(1) 邊緣計算專案實作：著重在以Intel OpenVINO為框架的電腦視覺應用
(2) 對外公開的AI理論與程式碼教學與演講
(3) 輔導課程學員專題：
a. 以攝像頭偵測地鐵車廂人潮擁擠度(應用SSIM技巧)
b. 以攝像頭像素切割技巧，判斷停車場的空閒停車格位置
c. 以tree-based的模型，進行手機維修預測
d. 以BERT transformer模型，建構針對客服案件文本，進行分類與轉發

(1) Hands-on project on Edge Computing: Focus on computer vision model via Intel OpenVINO.
(2) Hand-on tutoring/speech of AI techniques for public and private audience.
(3) Assist in Student Projects: 
a. Estimate crowdedness in subway car using traditional computer vision trick(SSIM).
b. Estimate loading in parking lot using instance segmentation skill.
c. Smart phone repair forecasting by tree-based model.
d. Customer inquiry classification and auto-forwarding using BERT transformer.

Taiwan AI Academy

(1) 大數據用戶行為分析，資料ETL與BI工具維護

(1) User behavior analysis on large data scale, data ETL, and BI tool maintenance.


Düsseldorf, Deutschland

trivago

(1) 線上資料流串接：建構線上資料整合的ETL執行腳本，連接Amazon, Adwords, Facebook的API，抓取資料，並且回傳至公司內部資料庫
(2) Data Model設計：公司CRM資料庫的data schema
(3) 數據分析：製作產品銷售、客戶偏好、市場佔有率報告與視覺化

(1) Data ingestion and integration: Build up automatic sales/online traffic data update and integration from different platforms (including API on Amazon Ads, Adwords, Facebook).
(2) Data model design: Design database schema structure for CRM.
(3) Analysis: Conduct ad-hoc business analysis on market penetration, user preference and visualization.


MDF Instruments USA

Data Engineer

(1) 產品促銷案設計與執行，並且針對產品優化，舉辦焦點訪談，問卷調查

(1) Design marketing campaign and host focus group, questionnaire survey for product revision.

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