Fu-Ti H. Email & Phone Number

英國倫敦地區

• (with Retention Science, Taiwan)
• design, develop, test and maintain micro-service based applications
• implement CRUDs using Java/Scala/Python/Ruby
• optimize AWS services' performance / lower AWS cost

台灣 Taipei City 台北

• Design, implement, manage and monitor tens of data pipelines for synchronizing over 100 datasources by integrating raw data from both internal databases and cloud services like AWS RDS, MongoDB, S3, GCP BigQuery.
• Apply serverless cloud service like AWS Lambda with Layer and EventBridge or GCP Cloud Functions with Cloud Scheduler to implementing / managing / monitoring ETL tasks
• boost large data computation via PySpark with BigQuery and Dataproc cluster
• Introduce Apache Airflow and Docker to rebuild and optimize current ETL workflow

Taiwan

• Designed program composed of Python and SQL query and scheduled it on AWS EC2 for regularly incrementally or fully synchronizing BI Team's original data storage of data warehouse with over 50 Replica raw datasources
• Utilized Tabpy_Server and Tabpy_Client to integrate Tableau with Python for data processing and on-demand forecasting
• Assisted to establish OLAP three-layer Data Warehouse for providing Tableau Server with accurate, instant and stable data source and for optimizing user experience of making research on Tableau Server
• Monitored and managed daily ETL logs and long-term trend of Data Warehouse synchronization conditions
• Designed Flask / Django API integrated with Redis for data transfer purpose
• Applied Gecko Driver, Selenium and AutoGUI to automatically handling routine downloading tasks

Taiwan

• Provided customized data analysis services for client companies, government authorities, such as Bureau of Foreign Trade and Associations of Industry
• Established Ensemble Learning (including Random Forest, Xgboost, Linear Regression, Support Vector Machine, K-Nearest Neighbor) / LSTM / SARIMA for predicting growth rate of Taiwan's export values to each overseas.
• Established prototype of overseas buyer's recommendation system via Association Rules of buyer-supplier relationship using Python
• Handled data collection, processing, integration, visualization using Pandas, Numpy and Matplotlib
• Established and maintained R Environment for Shiny Server, tested Selenium Data Scraping Application, scheduled Python application for routine tasks and maintained MySQL Server on Ubuntu and CentOS system

Master Of Science (M.S.), Business Analytics And Project Management, 3.764

Courses of Predictive Modeling / Process Modeling / Visualization Analysis (Tableau) / Data Analysis using R / Big Data Analysis with.

Master Of Engineering (M.Eng.), Mechanical Engineering

Master thesis: Investigation of Absorption Rate Enhancement by Controlled-disturbance on Aqueous LiBr Film Flowing over of a Flat Plate.

Bachelor Of Engineering (B.Eng.), Engineering And System Science

Activities and Societies: Softball teamMajor in material science and nuclear engineering