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盧冠宏
Data Engineer / Back-End Engineer / Lecturer
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盧冠宏

Data Engineer / Back-End Engineer / Lecturer
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
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無限學股份有限公司
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National Sun Yat-sen University 國立中山大學
台灣高雄

职场能力评价

专业背景

  • 目前状态
    就职中
    目前会考虑了解新的机会
  • 专业
    数据工程师
    后端开发人员
    专业讲师
  • 产业
    人工智能 / 机器学习
    资讯服务
    教育
  • 工作年资
    4 到 6 年 (2 到 4 年相关工作经验)
  • 管理经历
  • 技能
    python programming
    sql語言
    Data Mining
    Data Analysis
    AI & Machine Learning
    AI / 機器學習
    Algorithm
    MongoDB
    hadoop ecosystem
    Spark
    spark sql
    ElasticSearch
    Docker
    docker swarm
    dockercontainer
    python django
    R language
    Deep learning with TensorFlow
    Flask(Python)
    NLP
    chatbot
    Big Data Analytics
    KAFKA
    AWS EC2
    AWS S3
    English as a Second Language (ESL)
    Crawler
    powerpoint
    Word
    Semiconductor Process
    Manufacturing Processes
    Defect improvement
    Semiconductor Process Technology
    Machine Learning Data Science
    Scikit-Learn
    教學課程規劃
    教學規劃與設計
    教學能力
    教學經歷
    講師
    諮詢
    顧問
  • 语言能力
    English
    中阶
    Chinese
    母语或双语
  • 最高学历
    硕士

求职偏好

  • 预期工作模式
    兼职
    我只想远端工作
  • 希望获得的职位
    Software Engineer/Back End Engineer/Data Engineer
  • 期望的工作地点
    台灣高雄
    台灣台南
    台灣台中
    台灣花蓮縣花蓮
  • 接案服务
    兼职接案者

工作经验

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資料科學學習教練(學習寶專案總監)

2024年2月 - 现在
1. Develop course content. 2. Design assignments and learning paths. 3. Conduct regular consultations with students to address learning challenges.
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資料科學教學助理

ALPHA Camp
接案
2023年12月 - 现在
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.
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Python諮詢業師

2023年12月 - 现在
Python Consultation and Data Science Career Advisory
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Data Engineer & Software Back-End Programmer

2021年8月 - 现在
台灣高雄市
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)
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Data Engineer

2021年5月 - 2021年8月
4 个月
台灣台北市
* Data Engineer, Data Science Department - Data integration in Data Warehouse : Oracle - ETL and Data pipeline : Informatica - Data Analysis and Reporting development : Tableau
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Big Data Engineer

2019年11月 - 2021年5月
1 年 7 个月
台灣台北市
- 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
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Data Analyst & Application Engineer

2016年12月 - 2019年1月
2 年 2 个月
• 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)
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Research Assistant

2015年6月 - 2015年9月
4 个月
台灣高雄市
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
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Teaching Assistant

2013年9月 - 2015年6月
1 年 10 个月
台灣高雄市
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

学历

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Master’s Degree
Materials and Optoelectronic Science
2013 - 2015
Bachelor’s Degree
Bachelor degree in Department of Chemical engineering and Materials Science
2009 - 2013

资格认证

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Udemy
证照编号: UC-7ad924c0-2798-4615-97b9-93662c651b22
发照日期 2020年6月
永久有效
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Udemy
证照编号: UC-a3649939-d7da-4bc3-a332-cce7284ac455
发照日期 2020年6月
永久有效
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Udemy
证照编号: UC-154275ad-26cc-477f-bdd6-a0710c7ab622
发照日期 2020年6月
永久有效
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Udemy
证照编号: UC-212d4ee7-0518-4091-af9d-0617db2d392a
发照日期 2020年5月
永久有效
Good job TibaMe 就業養成班
证照编号: WW19TBDA00001
发照日期 2019年9月
永久有效
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微軟公司
证照编号: FED57160-8B22-46B6-B642-C4155817CFDA
发照日期 2019年9月
永久有效
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微軟公司
证照编号: BB481513-EDD7-4760-83A7-45318A89E194
发照日期 2019年1月
永久有效