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Machine Learning A-Z™: Hands-On Python & R In Data Science

Udemy

Tableau 2020 A-Z:Hands-On Tableau Training For Data Science!

Taming Big Data with Apache Spark and Python - Hands On!

The Complete Machine Learning Course in Python

AI/Big Data 資料分析師養成班

Good job TibaMe 就業養成班

MPP- Introduction to Artificial Intelligence (AI)

微軟公司

MPP- DAT208x Introduction to Python for Data Science

Software Engineer, Senior Data Engineer, Data Science Consultant, and Learning Coach

Expertise: Data Science, Programming Development, Learning Coaching, Knowledge Transfer

A . Data Engineer & Backend Developer specialized on data warehouse, OLAP and API Server ,major
with Python, SQL, Javascript and Node.js:

1. Web Back-End Development : python flask, javascript node.js
2. Data pipeline, ETL (Kettle, Informatica, Nifi)
3. Work flow management (Airflow, Azkaban, Ozzie)
4. MQ service and streaming(Kafka)
5. Container (docker) , and Control version (Git / Gitlab)
6. Data mining and Data Analysis
7. DataOps, MLOps

B. Tech Stack

- Python, SQL : Flask, FastAPI, T-SQL (store procedure)
- Javascript , Node.js
- BI : Tableau, Metabase
- Hadoop (Cloudera) : Sqoop, Spark, Presto, Impala
- ETL/ELT, Data Pipeline : Nifi, Kettle, Informatica
- Data Flow & WFM : Airflow, Azkaban, Ozzie
- MQ : MQTT, Kafka
- MS BI Solution : SSAS, SSRS, SSMS
- Container : Docker
- Version Control : Git

National Sun Yat-sen University 國立中山大學

Yuan Zen University

Data Engineer / Back-End Engineer / Lecturer

盧冠宏

無限學股份有限公司

資料科學學習教練（學習寶專案總監）

1. Develop course content.
2. Design assignments and learning paths.
3. Conduct regular consultations with students to address learning challenges.

Teaching Assistant of Alpha Camp Data Domain Class

1. Reviewing and providing feedback on student assignments to ensure accuracy and understanding.

2. Assisting students in overcoming challenges and addressing difficulties encountered during the learning process.

3. Offering insights and suggestions for optimizing teaching materials through discussions and collaborative efforts.

ALPHA Camp

資料科學教學助理

Python Consultation and Data Science Career Advisory

學米股份有限公司

Python諮詢業師

Wistron Corporation
 * Data Engineer, Digital Transformation(DT) and SD Department AUG 2021 - Now
[Project] ECO-SSOT ( Single Source of Digital Transformation  ) 
[Project] Sustainability Reporting Manager
[Project] Decarbonization Management Platform

CSR Web Service and ESG dashboard report for data analysis and data governance by ETL and pipeline, data warehouse building from Wistron factories around the world

[Skill and Tool]
-	Development : Python and SQL
-	Batch process : Apache Airflow
-	MQ service : Apache Kafka
-	Technique :  Web API(Python Flask), ER-Model, DW,  OLAP, Container, Version Control (Gitlab)

台灣高雄市

緯創資通股份有限公司

Data Engineer & Software Back-End Programmer 

* Data Engineer, Data Science Department 
-	Data integration in Data Warehouse : Oracle
-	ETL and Data pipeline : Informatica
-	Data Analysis and Reporting development : Tableau

台灣台北市

LINE Bank (台灣連線商業銀行)

Data Engineer

- Big Data Engineer, Data Science Department NOV 2019 ~ MAY 2021

[ML Project  Client Refund Prediction ]
-	Machine Learning inference for client by Anomaly Detection(by One class SVM and Isolation Tree)
-	Building Data flow by MSSQL, Hive, Python 

[ ML Project  Potential Customer Forecasting ]

-	Binary classification prediction by XGBoost to increased conversion rate
-	Building Data flow by MSSQL, Hive, Spark(Pyspark) for ML prediction daily

[ Data Warehouse (MS SQL Server) Project ]

-	Data governance by MS Solution (SSIS/SSAS/SSRS) 
-	Optimzied SQL to increased batch processing efficacy
-	BI Reporting developing by MS SQL Server Solution and tableau

[ Data Lake Project ]

-	Big data service(Cloudera Ecosystem) building and maintained
-	Data warehouse re-building : Data Migration from MSSQL to HDFS/Hive by Sqoop

麥奇數位(iTutorGroup\TutorABC)

Big Data Engineer

• DRAM Production Control and In-line WIP regulation.

• In-line excursion issue analysis and solutions for defect emphasis on dram products


[Project] Level 2 Urgent Issue Informing and Report

[Results] 
3 urgent cases for serious yield loss including DE front-end, CMP back-end, PVD back-end

[Performace] Yield 1% increased for each wafers



- Familiar with KLA detection recipe setting-up and maintain

- Response for decreasing Detection Gap and increasing Matching ratio with Fab 15 and Fab 11

-Optimized customized detection recipe of in-line production

- KLA recipe Matching and Detection Gap modified



[Project] Tool Monitor Golden Wafer Confirm

[Results] Confirming recipe for kinds of tool, scan and monitor monthly

[Performance] For each tool matching : Capture rate > 80% ; Repeatability > 95%

[Performance] For PM is/was matching : Matching Rate > 80% for total counts and D- size > 0.5 um



[Project] Inline Monitor Tool Change Evaluation

[Results] 5 layers recipe for 2 kinds of equipment, modifying recipe by parameters, co-working with KLA.

[Performance] DOI (defect of interesting) Improvement Rate: 180%

[Performance] Capacity Improvement Rate : 300% (11.2 mins optimizing to 3 mins)



[Project] Tool MMM Optimization /Recipe and Tool Correction

[Results] Algorithm application: decrease false defect and noise by Decision Tree; Capture Ratio increased.

[Performance] Repeatability ratio is 98%( Stable) ; False Ratio : 6% ( Almost true defects)

Micron Technology 台灣美光

Data Analyst & Application Engineer

Assist for advisors to complete experience and publish paper reports 
 	 		 Participate the meeting and discuss results 
 		 Teach the equipment operation and materials knowledge learned from lab

國立中山大學 National Sun Yat-Sen University

Research Assistant

Teach the experimental instrument and class 
 	 		 Assist to resolve the problems in the class 
 	 		 Manage the medical in the lab 

 		 The experimental class contains : 

 1. Dilute solution viscosity method for the determination of polymer molecular weight 
 2. Fourier transform infrared spectroscopy for measuring organic chemical compounds 
 3. The preparation of Dye-sensitized solar cell 
 4. Polarizing microscope observation of polymer crystallization

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