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Cloud Services Manager @AIA
2021 ~ 2022
DevOps Engineer, Site Reliability Engineer
Within one month
P Koteswar Engineering Lead | SRE | DevOps | IaC | Aws | Azure | OpenShift | PostgreSQL | K8s AWS and Azure Certified Professional with 11+ years of Experience. Proven track record in managing complex IT environments across diverse domains for global enterprises. Skilled in driving digital transformation, including cloud migration and DevOps adoption, for IT landscape re-platforming and seamless lift-and-shift operations Vizag, India [email protected] PhLinkedIn Cloud Platform Microsoft Azure Amazon Web Service (AWS) Kubernetes, Redhat OpenShift AliBaba Cloud GCP AZURE: Azure VM, V-Net, Subnet, NSG, ASG, Azure storage,Access Control, Blob, Subscription Administration
DevOps / CI / CD
Site Reliability Engineering
Terraform/Ansible/Jenkins
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Sikkim Manipal University
Information Technology
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Research And Development Engineer @Nityo Infotech
2022 ~ Present
前端/後端/軟體/全端工程師
Within one month
Java EE
JavaScript
JQuery AJAX
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
Asia University (TW)
媒體、傳播、新聞相關學科
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Avatar of Jorge.
Senior PM @SetNet 技術顧問公司
2019 ~ Present
Within one month
實施了世界一流的 Citrix 系統(運算及虛擬化)和 Scala 的數位看板。 • 使用 ETL 工具、資料市集和 Control-M 批次排程管理,將資料倉儲遷移到 Microsoft Azure 雲端運算平台(資料湖泊)。 IT Operation Manager • UCM 醫療保健 24 小時遠距照護服務公司 / 智利 / 2015 – 2019 年 NovemberMarch 2019 帶領 9 名專業人員的團
Lean Six Sigma
Microsoft Project
Minitab
Ready to interview
Full-time / Interested in working remotely
10-15 years
Gabriela Mistral University
International Business
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Avatar of the user.
senior software engineer/ tenical pm @CYTENA BPS
2021 ~ Present
後端工程師
Within one month
MySQL
Microservices
MongoDB
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立台灣大學 (National Taiwan University, NTU)
Electronic engineering
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Offline
Avatar of 陳奕妤.
Offline
Past
Senior Data Analyst @趨勢科技
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis. VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data. Skill : Microsoft SQL Server · Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes · pySpark · Git Data Analyst • Bank SinoPac OctNov 2022 Personalized recommendation system on official website. Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion
python
R
SQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
統計資訊學系
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Avatar of Chieh (Jay) Fan-Chiang 范姜傑.
Past
Freelance @j172.tw
2024 ~ Present
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
Within one month
Department of Information Management at Shih Hsin University ▶Developed the Paper Evaluation System for the 20th International Conference on Information Management (ICIM▶ https://www.linkedin.com/in/jProject Management: ✦Certified ScrumMaster (Scrum Alliance) ✦Certified Scrum Product Owner (Scrum Alliance) Artificial Intelligence (AI): ✦Microsoft Certified: Azure AI Fundamentals (AIMicrosoft) Microsoft Azure: ✦Microsoft Certified: Microsoft Azure Fundamentals (AZMicrosoft) Google Cloud Skills Boost: ✦Create and Manage Cloud Resources ✦Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud ✦Google Cloud Computing Foundations: Networking ✦Google Cloud Computing Foundations: Infrastructure in Google Cloud ✦Google Cloud Computing Foundations: Cloud
C#
vue.js
JavaScript / ES6 / jQuery
Unemployed
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10-15 years
Shih Hsin University
Depatment of Information Mangement,Group of Information Technology
Avatar of Meng-Che Hsieh.
Avatar of Meng-Che Hsieh.
Front-End Engineer @TG3D Studio
2023 ~ Present
前端工程師 Front-End Developer
Within one month
Holdings Limited 大聯大投資控股(股)公司 1. DaDaTong - Refactor and develop • Next.js / Typescript / Redux-Saga / Material-UI / SEO 2. BPaaS (Business Process As A Service) project development • Angular / Spring Boot / MongoDB / SQL / Microsoft Azure 十一月六月 2021 Frontend Engineer • KINGNET - 今網智慧科技股份有限公司 1. Build the backend control system for e-commerce independently • Vue.js / Element-UI 2. Maintain the company's internal Content Management System
JavaScript
React.js
TypeScript
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Central University
Astronomy Institute
Avatar of Mario Yi.
Avatar of Mario Yi.
Founding Frontend Engineer @Mila AI
2023 ~ Present
Senior Frontend Engineer
Within one month
Estonia Work Experience Founding Frontend Engineer Mila AI JunePresent United Kingdom Collaborating within a compact team of AI engineers, language researchers, and UX/UI designers, spearheaded the development of an AI language learning assistant. - Developing the frontend using React.js, Tailwind CSS, Zustand, and Vite. - Utilizing Microsoft Azure DevOps for effective project and ticket management. - Implementing authentication through AAD B2C. - Integrating the payment gateway seamlessly with Stripe. - Using Miro for architecting and visually communicating design concepts to the team. Frontend Engineer Edvise AI JanuaryMay 2023 California, US Played a key role in
React
Next.js
TailwindCSS
Employed
Ready to interview
Full-time / Remote Only
6-10 years
Tallinn University of Technology
Computer Science
Avatar of GISH Shao.
Avatar of GISH Shao.
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司
2022 ~ Present
AI Engineer
Within one month
tasks. Working Experience NovNow Artificial Intelligence Engineer @ CTBC Taiwan Life Insurance AI Team DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt) 1. Receipt Recognition ServiceOCR: Successfully improved OCR model accuracy from 80% to 96% in 2023 by integrating current model with Microsoft Azure Form Recognizer output. Seamlessly integrated Microsoft Azure services into our existing Receipt system's data pipeline. Engineered postprocessing data solutions to cater to diverse format requirements from 17 different hospitals. Designed and executed comprehensive unit tests to ensure robustness and reliability. 2. Diagnosis
Python
SQL
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
Business Administration
Avatar of the user.
Avatar of the user.
Controls/Software Engineer @CYTENA BPS
2022 ~ Present
Software Engineer / Backend Engineer
Within one month
Word
Google Drive
Project Management
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Computer Science

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Within one month
Sr. data analyst@TrendMicro | Data Scientist | Business Analyst
Logo of 趨勢科技.
趨勢科技
2022 ~ Present
Taipei, 台灣
Professional Background
Current status
Unemployed
Job Search Progress
Ready to interview
Professions
Data Scientist, BI Engineer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
None
Skills
python
R
SQL
Git
HTML
CSS
JavaScript
Spark
HIVE
IMPALA
Web Crawler
AWS
Azure
GCP
Tableau
Power BI
Looker Studio
Docker
SAS
SPSS
Data Analytics
Business Analysis
Business Intelligence
Languages
English
Fluent
Job search preferences
Positions
Data Scientist, Data Analyst, Machine Learning Engineer
Job types
Full-time
Locations
台灣台北, 台灣新竹市, 台灣新竹縣, 台灣新北市, 台灣台北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
輔仁大學 Fu Jen Catholic University
Major
統計資訊學系
Print

Cathy Chen

Sr. Data Analyst

Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQLRPython and data analytics tools.


  Data Scientist, Data Analyst

  Taipei, Taiwan

  [email protected]

  0923126227


Work Experience

Sr. Data Analyst  •  TrendMicro

Nov 2022 - Now

  • Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard.
  • Cross app data tracking and user journey analysis.
  • VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile and have frequently engaged with the VisionOne for their operations.
  • Potential SOC customer tagging - use customer information to tag potential VisionOne SOC-like customers from the TrendMicro existing customer base. 
  • Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis.
  • VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data.

Skill : Microsoft SQL Server ·  Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes  ·  pySpark  ·  Git

Data Analyst  •  Bank SinoPac

Oct 2020 - Nov 2022

  • Personalized recommendation system on official website.
  • Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers.
  • Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods.
  • Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards.
  • Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis.
  • Developing automated web crawler on MMA website to collect ETF, fund, bond information.

Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning ·  IMPALA ·  HIVE ·  Git ·  Docker

Data Analyst  •  Catchplay

Apr 2020 - Oct 2020

  • Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the Indonesia marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function. 
  • Indonesia competitor analysis
  • Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM.
  • Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay. 
  • Genre Classification – Text Similarity
  • CATCHPLAY Recommendation System

Skill : Google BigQuery · R · Python · Google Analytics · Google Search Console · Web Crawling · machine learning

Machine Learning Engineer  •  人工智慧製造研究中心

Apr 2018 - Jan 2020

  • Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management.  
  • Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. The empirical result shows that the proposed approach has shown practical viability for increasing the packaging yield by 0.03%.
  • Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials. 
  • Development- Change Point Analysis 

Skill : Python · R · Shiny · HTML · CSS · Javascript · machine learning

Data Analyst  •  CADMEN

July 2016 - Jan 2018

  • Assist customers to collect data, build analytics model, data visualization and establish customized online dashboard.
  • Regularly conduct seminar,technical conferences and employee orientation. 
  • Assist SAS consultant to do POC. 
  • ITRI , Electronic and Optoelectronic System Research Lab - SAS consultant.
  • SPC and Root Cause Analysis System - The cooperative company is the top 20 electronic components supplier in Taiwan. The company’s main products are CPU heat sinks, fans and blowers, cooling. This project cooperates with QC department and System Thermal BU to help them collect and integrate multi-data table(production data, maintenance report , production order),develop ETL pipeline and customized online dashboard.

Skill : Python · R · Shiny · HTML · CSS · Javascript · SAS · JMP · machine learning

Education

Sep 2012 - Jun 2016

Fu Jen Catholic University

Department of Statistics and Information Science

Skills

Programming

Python

R

Spark

R shiny

SAS

HTML

CSS

Javascript

Database

My SQL

MS SQL Server

SQLite

IMPALA

HIVE

Azure Kusto (KQL)

Data Analytics Tools

Tableau

Power BI

Data Studio

Databricks

Azure dashboard

SPSS

Google Analytics

Google Search Console

Resume
Profile

Cathy Chen

Sr. Data Analyst

Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQLRPython and data analytics tools.


  Data Scientist, Data Analyst

  Taipei, Taiwan

  [email protected]

  0923126227


Work Experience

Sr. Data Analyst  •  TrendMicro

Nov 2022 - Now

  • Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard.
  • Cross app data tracking and user journey analysis.
  • VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile and have frequently engaged with the VisionOne for their operations.
  • Potential SOC customer tagging - use customer information to tag potential VisionOne SOC-like customers from the TrendMicro existing customer base. 
  • Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis.
  • VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data.

Skill : Microsoft SQL Server ·  Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes  ·  pySpark  ·  Git

Data Analyst  •  Bank SinoPac

Oct 2020 - Nov 2022

  • Personalized recommendation system on official website.
  • Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers.
  • Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods.
  • Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards.
  • Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis.
  • Developing automated web crawler on MMA website to collect ETF, fund, bond information.

Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning ·  IMPALA ·  HIVE ·  Git ·  Docker

Data Analyst  •  Catchplay

Apr 2020 - Oct 2020

  • Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the Indonesia marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function. 
  • Indonesia competitor analysis
  • Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM.
  • Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay. 
  • Genre Classification – Text Similarity
  • CATCHPLAY Recommendation System

Skill : Google BigQuery · R · Python · Google Analytics · Google Search Console · Web Crawling · machine learning

Machine Learning Engineer  •  人工智慧製造研究中心

Apr 2018 - Jan 2020

  • Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management.  
  • Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. The empirical result shows that the proposed approach has shown practical viability for increasing the packaging yield by 0.03%.
  • Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials. 
  • Development- Change Point Analysis 

Skill : Python · R · Shiny · HTML · CSS · Javascript · machine learning

Data Analyst  •  CADMEN

July 2016 - Jan 2018

  • Assist customers to collect data, build analytics model, data visualization and establish customized online dashboard.
  • Regularly conduct seminar,technical conferences and employee orientation. 
  • Assist SAS consultant to do POC. 
  • ITRI , Electronic and Optoelectronic System Research Lab - SAS consultant.
  • SPC and Root Cause Analysis System - The cooperative company is the top 20 electronic components supplier in Taiwan. The company’s main products are CPU heat sinks, fans and blowers, cooling. This project cooperates with QC department and System Thermal BU to help them collect and integrate multi-data table(production data, maintenance report , production order),develop ETL pipeline and customized online dashboard.

Skill : Python · R · Shiny · HTML · CSS · Javascript · SAS · JMP · machine learning

Education

Sep 2012 - Jun 2016

Fu Jen Catholic University

Department of Statistics and Information Science

Skills

Programming

Python

R

Spark

R shiny

SAS

HTML

CSS

Javascript

Database

My SQL

MS SQL Server

SQLite

IMPALA

HIVE

Azure Kusto (KQL)

Data Analytics Tools

Tableau

Power BI

Data Studio

Databricks

Azure dashboard

SPSS

Google Analytics

Google Search Console