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Avatar of John Michael C. Sorbito RN.
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Assistant Accounting Finance Manager @Vacation Homes 365
2019 ~ Present
Administration Staff and Customer Service
Within one month
John Michael Sorbito RN Versatile and experienced professional with a proven track record of success in customer service, sales, and education. Expertise in building rapport, resolving issues, and achieving sales targets. Passionate about helping others and delivering exceptional results. Bacolod, Negros Occidental, Philippines Work Experience Assistant Accounts and Finance Manager • Vacation Homes 365 JanuaryFebruary 2024 •Manage 60 properties listed through Airbnb, booking.com and VRBO as well. • Manage property listings and pricing include rate adjustment and resolution managements. •Developed and maintained a system for tracking accounts receivable and accounts payable •Handles all Invoicing responsibilities
Microsoft Office
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Carlos Hilado Memorial State University
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Avatar of Steven.
Project Manager @明基電通
2022 ~ Present
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Service Quality Project Management. Service Expense Budget Planning, Cost Control, and Regular Review Adjustments. Government Project Service Cost Calculation. Cross-department/Business Unit/Subsidiary Communication and Resource Coordination. Project Problem Solving and Tracking. Project Progress Planning and Management. Expense Audit and Review of Missing Components for Improvement. Financial Report Compilation and Analysis. Service Performance Indicator Statistics and Analysis. Compilation of Annual Budget Data from Various Business Units. Company Annual Budget Meeting Presentation. Salesforce System Platform Management and Maintenance. Achievements: 1. Global C...
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Good at test planning, defined test strategy, implementing test plan and test cases also build up the test environment. Issue feedback and reporting, bug tracking and data analyzing. Program: Python, My SQL, Google Data Studio, ADB commands Education Fu Jen Catholic University~Master of Science i n Applied Statistics Fu Jen Catholic University~Bachelor of Statistics and Information Science Work Experience Google-PTE (Pixel Testing Engineer Team/01~2023/03) NOVMAR 2023 Pixel Acoustics Automation Test Development Acoustics automation and benchmark testing for PixelDesigned the test automation for measuring the speaker quality to enhance the test
Unemployed
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6-10 years
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Avatar of the user.
Past
Team Leader @TaskUs 美商泰優股份有限公司台灣分公司
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Within two months
leadership
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淡江大學 Tamkang University
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Senior Software Engineer @TKSpring
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Within one month
MySQL
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6-10 years
National Sun Yat-Sen University
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Director of Product Engineering @SV TCL
2017 ~ Present
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Within one month
Blair Yu Director of Product Engineering at SV TCL Multi-site and Multi-culture communication and team work experience (countries includes Autria, China, Czech, German, Neitherland, Mexico, USA, Switzerland) Problem solving with solid logic thinking Large team (30+ team members) leading and management People and team development Risk assessment with mitigation plan Team coaching and motivation Specialties: SPC, Statistic Process Control Skill and knowledge FMEA analysis and action plan Hsinchu, Hsinchu City, [email protected] https://www.linkedin.com/in/bert-blair-yu-pmp-89334a20/ 工作經歷 一
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NTOU (Unofficial)
Material Engineering
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Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
Within one month
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
python
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keras
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台灣大學
大氣科學所
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Asia Lead Software Engineer @新加坡商羅福斯有限公司台灣分公司
2023 ~ 2024
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National Chung Hsing University
Computer Science and Information
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Avatar of Yuanfu.
Past
軟體工程師 @中華系統整合股份有限公司
2019 ~ 2023
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Within one month
the 2 nd guard for reports. I give users user guides for troubleshooting and log diagnosis to track bugs. Lead users solve problems or dispatch on-site supporters based on analysis. Make sure the response in 2-hour online leading or 4-hour dispatching. User Research : Statistics of the monthly transactions, tracking the contribution of products and report to clients monthly. For example, TVM increases the station income 7-45% and available device-time to 99.8% . And plan to improve the product based on the statistics. QA/Software Engineer in
C programming Language
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長庚大學
Computer Science
Avatar of YANG MENG-HAN.
Avatar of YANG MENG-HAN.
Business Analyst @EPSON TAIWAN TECHNOLOGY & TRADE CO., LTD
2021 ~ Present
Data Analyst/Data Scientist
Within one month
YANG MENG-HAN A data lover with over 5 years of experience. I like to live in data. Data always tells stories. I am a translator, explaining to people the language of data. Exploring data from different perspectives makes me see the world especially. This is an essential trait to be a data worker. Sometimes, I am an architect; building algorithms and models lead you to see the company vision you’ve never seen before. If you are looking for an obedient employee, sorry I am not the one. I would be
python
machine learning
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Open to opportunities
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4-6 years
台灣大學
生態學與演化生物學研究所

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Print

陳信榮   Hsin-Jung Chen

數據工程、分析師 | Data Engineer & Analyst 


25歲  ,  銘傳統資系畢業

喜歡旅行,喜歡海

喜歡挑戰新的事物                                                       手機:0970002956

  [email protected] /                    Taipei, Taiwan / 役別 : 已役


學歷  Education

銘傳大學

應用統計與資料科學學系   Statistics and Information Science

專題:《 多項目不合格率管制圖檢測晶圓分布 》

九月 2014 - 六月 2018

專業課程訓練/證照

一月 2021 - 六月 2021

(共600小時)

[課程] 資訊工業策進會   Big Data 巨量資料分析班

(key skill : Java、Python、R、統計應用實務/機器學習/深度學習網路爬蟲、MySQL、       Docker、Hadoop、Spark、Linux、 HTML&CSS、JS、 d3.js 、Flask、PowerBI)

專題:公司財務危機預警分析 -負責資料清洗、資料分析(隨機森林、Autoencoder)

六月 2021

[課程] Google Analytics Individual Qualification 

三月 2015

[證照] 中華民國品質協會  品質技術師CQT-甲單元


工作經歷 Work Experience

三月 2019 - 十月 2020

(一年 八個月)

品管工程師  相互科技 | 新北市新莊區

 負責PCB乾膜蝕刻線路製程品管工程師
1. 專案改善及良率提升 : 監控製程品質,將良率管控於95%以上,降低不良品報廢金額
2. 產線異常排除、不良品異常分析及信賴性驗證
3. 提升產線人員品質觀念,人員MSA考核及教育訓練
4. 乾膜蝕刻線路製程生產設備的維護及校正
5. PCB全製程異常處理及分析
6. 外包商稽核

技能 Computer Skills

語言 Languages


  • Language : Python , R  
    • 網路爬蟲、資料探勘、機器學習、深度學習
  • Other : Git , Trello , Linux , Docker , MySQL
  • Visualize : HTML/CSS , PowerBI , d3.js
  • Office Tool : MS Office

  • Chinese
  • English

自傳 Autobiography

      我是陳信榮,畢業於銘傳大學應用統計與資料科學學系。

     我認為最符合我的關鍵字是:「 陽光、積極、勇於挑戰以及善於團隊合作 」,人生座右銘『 態度決定你的高度 』時時刻刻提醒著我,認真對待每一件事以利達到期望的目標。接著透過以下的介紹讓您可以更加認識我。


一、背景介紹

    我是陳信榮,畢業於銘傳大學應用統計與資料科學學系,家中成員有父母親以及妹妹,父母從小教育開放且民主,使得我勇於嘗試、學習新的事物,從高中大學以來常利用寒暑期及課餘時間參加營隊、社團、擔任門市銷售工讀、補習班導師以及離島打工換宿等經驗,與群體相處,從中學習溝通、領導,不害怕面對問題,積極勇敢的解決問題。


    在學期間,選修系上工業統計學程,因而學習品質管理、可靠度分析、迴歸分析等課程,更拓展應用在畢業專題《多項目不合格率管制圖檢測晶圓分布》,藉由晶圓瑕疵分布作為分類,再利用多項目不合格率卡方管制圖做監控方式,使用R語言作為數據分析數據、統整繪圖等實務,開啟我對於電子製造業品管工程師的道路。


二、工作經驗

    畢業後,根據在大學所學,在PCB產業找到人生第一份正職工作。在公司內,我負責乾膜蝕刻線路製程的所有品質異常以及協助其他技術部門專案小組,做後段數據的統整與分析,監控產品品質,在職期間,減少乾膜蝕刻製程的不良率佔全廠區比例5-8%,有效將良品率管控在95%以上,減少公司報廢金額及製程成本。


    線路是電路板中極為重要的一環,在這其中學習到就學時從未接觸的化工及電子元件專業知識與產線生產的細節,從零開始學起,在極短的時間內,跟上部門夥伴的腳步,在各部門中協調以及排除異常,減少異常發生以及降低不良率,讓產線在穩定的環境下作業。


三、學習過程

    大學期間已接觸過多項程式語言及統計套軟,例如:SAS、SPSS、mySQL、Python以及R語言,以及有著統計學的背景知識及實務,在PCB製程品管工程師的職務上,也常利用Excel及minitab 監控產品良率及繪圖,針對產品不良進行多項目方析以及專案報告。


    此外在第一份工作結束後,為了追求程式語言更有系統化的課程,增進自己本身的專業能力,而報名訪間教學單位「 資策會 - Big Data巨量資料分析班 」近六個月的專業培訓課程,在課程內,學習資料庫、資料分析、Hadoop生態系統相關知識以及Java、Python、R程式語言的應用,最後以小組形式完成期末的專題發表。在小組專題我所負責的部分為數據清洗以及分析,將原始資料清洗成機器學習模型可以訓練的資料集,經過模型建制、參數調整、模型預測,進而達到所預測的目標及效果。


四、未來展望

    擁有統計資料科學背景的我,是資料分析及科學團隊中不可或缺的角色之一,我能在團隊中協助爬取資料,進行資料清洗、分析,進而產生決策與討論,更進一步以視覺化的方式來描繪及呈現統計分析結果。無論在哪個崗位上,我都會保持最正向的態度,不斷地學習及挑戰,提升自我能力,拒絕安逸自我,期望能在數據科學的領域上發光發熱。


        

Resume
Profile

陳信榮   Hsin-Jung Chen

數據工程、分析師 | Data Engineer & Analyst 


25歲  ,  銘傳統資系畢業

喜歡旅行,喜歡海

喜歡挑戰新的事物                                                       手機:0970002956

  [email protected] /                    Taipei, Taiwan / 役別 : 已役


學歷  Education

銘傳大學

應用統計與資料科學學系   Statistics and Information Science

專題:《 多項目不合格率管制圖檢測晶圓分布 》

九月 2014 - 六月 2018

專業課程訓練/證照

一月 2021 - 六月 2021

(共600小時)

[課程] 資訊工業策進會   Big Data 巨量資料分析班

(key skill : Java、Python、R、統計應用實務/機器學習/深度學習網路爬蟲、MySQL、       Docker、Hadoop、Spark、Linux、 HTML&CSS、JS、 d3.js 、Flask、PowerBI)

專題:公司財務危機預警分析 -負責資料清洗、資料分析(隨機森林、Autoencoder)

六月 2021

[課程] Google Analytics Individual Qualification 

三月 2015

[證照] 中華民國品質協會  品質技術師CQT-甲單元


工作經歷 Work Experience

三月 2019 - 十月 2020

(一年 八個月)

品管工程師  相互科技 | 新北市新莊區

 負責PCB乾膜蝕刻線路製程品管工程師
1. 專案改善及良率提升 : 監控製程品質,將良率管控於95%以上,降低不良品報廢金額
2. 產線異常排除、不良品異常分析及信賴性驗證
3. 提升產線人員品質觀念,人員MSA考核及教育訓練
4. 乾膜蝕刻線路製程生產設備的維護及校正
5. PCB全製程異常處理及分析
6. 外包商稽核

技能 Computer Skills

語言 Languages


  • Language : Python , R  
    • 網路爬蟲、資料探勘、機器學習、深度學習
  • Other : Git , Trello , Linux , Docker , MySQL
  • Visualize : HTML/CSS , PowerBI , d3.js
  • Office Tool : MS Office

  • Chinese
  • English

自傳 Autobiography

      我是陳信榮,畢業於銘傳大學應用統計與資料科學學系。

     我認為最符合我的關鍵字是:「 陽光、積極、勇於挑戰以及善於團隊合作 」,人生座右銘『 態度決定你的高度 』時時刻刻提醒著我,認真對待每一件事以利達到期望的目標。接著透過以下的介紹讓您可以更加認識我。


一、背景介紹

    我是陳信榮,畢業於銘傳大學應用統計與資料科學學系,家中成員有父母親以及妹妹,父母從小教育開放且民主,使得我勇於嘗試、學習新的事物,從高中大學以來常利用寒暑期及課餘時間參加營隊、社團、擔任門市銷售工讀、補習班導師以及離島打工換宿等經驗,與群體相處,從中學習溝通、領導,不害怕面對問題,積極勇敢的解決問題。


    在學期間,選修系上工業統計學程,因而學習品質管理、可靠度分析、迴歸分析等課程,更拓展應用在畢業專題《多項目不合格率管制圖檢測晶圓分布》,藉由晶圓瑕疵分布作為分類,再利用多項目不合格率卡方管制圖做監控方式,使用R語言作為數據分析數據、統整繪圖等實務,開啟我對於電子製造業品管工程師的道路。


二、工作經驗

    畢業後,根據在大學所學,在PCB產業找到人生第一份正職工作。在公司內,我負責乾膜蝕刻線路製程的所有品質異常以及協助其他技術部門專案小組,做後段數據的統整與分析,監控產品品質,在職期間,減少乾膜蝕刻製程的不良率佔全廠區比例5-8%,有效將良品率管控在95%以上,減少公司報廢金額及製程成本。


    線路是電路板中極為重要的一環,在這其中學習到就學時從未接觸的化工及電子元件專業知識與產線生產的細節,從零開始學起,在極短的時間內,跟上部門夥伴的腳步,在各部門中協調以及排除異常,減少異常發生以及降低不良率,讓產線在穩定的環境下作業。


三、學習過程

    大學期間已接觸過多項程式語言及統計套軟,例如:SAS、SPSS、mySQL、Python以及R語言,以及有著統計學的背景知識及實務,在PCB製程品管工程師的職務上,也常利用Excel及minitab 監控產品良率及繪圖,針對產品不良進行多項目方析以及專案報告。


    此外在第一份工作結束後,為了追求程式語言更有系統化的課程,增進自己本身的專業能力,而報名訪間教學單位「 資策會 - Big Data巨量資料分析班 」近六個月的專業培訓課程,在課程內,學習資料庫、資料分析、Hadoop生態系統相關知識以及Java、Python、R程式語言的應用,最後以小組形式完成期末的專題發表。在小組專題我所負責的部分為數據清洗以及分析,將原始資料清洗成機器學習模型可以訓練的資料集,經過模型建制、參數調整、模型預測,進而達到所預測的目標及效果。


四、未來展望

    擁有統計資料科學背景的我,是資料分析及科學團隊中不可或缺的角色之一,我能在團隊中協助爬取資料,進行資料清洗、分析,進而產生決策與討論,更進一步以視覺化的方式來描繪及呈現統計分析結果。無論在哪個崗位上,我都會保持最正向的態度,不斷地學習及挑戰,提升自我能力,拒絕安逸自我,期望能在數據科學的領域上發光發熱。