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4-6 năm
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Avatar of Justin Liu.
Avatar of Justin Liu.
Manager @GOMAJI 夠麻吉
2017 ~ Hiện tại
Project Lead / Tech Lead / Team Lead / Technical Manager
Trong vòng một tháng
CI/CD, and Software Development Process: (1) Responsibility: Developed hybrid cloud architecture using GCP, especially include local K8S, GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi
Team Lead
Management Team
Cloud Architecture
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
Shih Hsin University
Management Information Systems, General
Avatar of the user.
Avatar of the user.
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
Trong vòng một tháng
python
tensorflow
keras
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
台灣大學
大氣科學所
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Avatar of the user.
Expertise & Innovation Lead, Cloud @fifty-five
2023 ~ Hiện tại
Cloud Solution Architect
Trong vòng một tháng
Google Analytics
Google Tag Manager
Data Mining
Đã có việc làm
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chengchi University
Computer Science
Avatar of 張文源.
Avatar of 張文源.
Frontend Software Engineer @德商foodpanda_富胖達股份有限公司
2022 ~ 2023
資深前端工程師
Trong vòng một tháng
Storybook 建構 共用元件庫 與設計師合作開發設計系統,預計將 發佈為 npm package 提供不同產品線進行使用 學歷國立台灣大學 資訊管理 推薦 前端工程師 Lucas Weng https://www.cakeresume.com/me/casey-chang/recommendations/pK1 產品經理 Pohan Huang https://www.cakeresume.com/me/casey-chang/recommendations/aY0
HTML/CSS
JavaScript
TypeScript
Đã có việc làm
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
國立台灣大學
資訊管理
Avatar of the user.
Avatar of the user.
Past
S4 @台達電子工業股份有限公司
2024 ~ Hiện tại
Sr. Backend Engineer, Sr. Software Engineer, Backend Team Leader
Trong vòng một tháng
Java
Python
Spring Boot
Thất nghiệp
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
Tajen University
Bachelor Of Computer Science

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Trong vòng ba tháng
Data Engineer
Logo of AGB Nielsen.
AGB Nielsen
2019 ~ Hiện tại
Professional Background
Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Tắt trạng thái tìm việc
Professions
Data Engineer
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Kinh nghiệm làm việc
2-4 năm
Management
Kỹ năng
Python
R
Tableau BI
Machine Learning
Linux
MySQL
Java
BigQuery
Git
Shell Script
Unit Testing
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Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Loại hình công việc
Full-time
Địa điểm
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Không.
Học vấn
Trường học
Arizona State University
Chuyên ngành
MS Business Analytics
In
Profile 03 00@2x

Jae Huang

Experienced data engineer with Python, database and data pipeline.     

Taipei,TW | New York,US

  
[email protected]

Skills


Programming

Python / R / Java

SQL: MySQL / SQLite / Postgresql
GUI: TKinter / PyQt

Data Manipulation

Data Cleaning / Data Standardizing  / Feature Engineer / Data Modeling / LargeData Handling / Data Visualization


Others

macOS / Linux / Windows

BI Tool: Tableau / Google Data Studio

Self-learning: AWS / Docker / Airflow / MongoDB / Hadoop

Professional Experience

AGB Nielsen, Data Operation Engineer

Jul 2019 ~ Now | Taipei, Taiwan

  • Optimized applications on operation automating process, reduced data processing time 50-70% for each project
  • Designed operation dashboard to keep track on data collecting progress, built a Python-based data pipeline to keep updating new coming data and data integrity
  • Supported on consuming behavior analysis project with large data processing and user predictive analysis; designing an application to auto-generate statistic report for ad effect
  • Standardized the quarterly-recurring sampling work by designing an sampling application, simplified 50% of the steps

Chung Ying Physical Therapy & Acupuncture, Business Analyst

Jan 2018 ~ Mar 2019 | New York, US

  • Built marketing dashboard with Advanced Excel, SQL and Google Analytics for a weekly average of 80 new patients from various sources Electronic health record system, Google Business Insight, Zocdoc etc.
  • Leveraged R to design performance report to measure patient retention rate and improved from 4 to 8 visits per patient in 2018
  • Optimized patient review on 4.5+ rating by discovering provider's strength and improving weakness on Excel analysis
  • Delivered patient volume report with data visualization to stack holder to understand business efficiently, discovered seasonal pattern that increased 20% of new patient

Autonomous Professional Development Summer Project, Data Analyst

May 2018 ~ Aug 2018 | New York, US

  • Developed course-job recommendation model for APD training company by helping users choose courses to match their career goal, and calculate the likelihood of getting a job based on users' educational background
  • Used Selenium to crawl information from NYU CareerNet and NYU SPS school websites, reduced 90% processing time
  • Processed 2, 000 jobs and 446 courses text files through Python for data preparation and prototypes design
  • Quantified the similarity between course and job using different algorithm models tf-idf, LSI, etc. improved prediction accuracy from 30% to 67%.
  • Determined the model to apply on the defining business problem by model selection technique KL Divergence
  • Built and evaluated models to predict the probability of getting a job based on users' educational background

Kindness.org, Business Analytics intern

Sep 2017 ~ Dec 2017 | New York, US

  • Initiated KPI tracking system - Designed an easy to use dashboard to track the KPI achievement progress along with budget control; conducted an achievable timetable to reach the year goal.
  • Implemented web analytics - Identified the demographic of the kindness community; optimized the retention on website by recognizing user behavior with Google Analytics.
  • Constructed social media analytics - Using Python to build automatic generated social media report reducing 70% time on report; recognized the most effective Facebook fan page promotion; analyzed the cost and ad for fan page to support constructing the 2017 fall community growth plan.

Yahoo, E-Commerce Marketing Specialist

Apr 2014 ~ Dec 2014 | Taipei, Taiwan

  • Detected irregular web traffic and identified the leading cause by using Yahoo web analytics; kept sales run at 9M weekly
  • Developed Facebook fan page growth strategy through social media marketing analysis; led to page likes increased 200, 000 in 5 months, engagement grew 476%, monthly sales grew 310%

Education

Arizona State University, MS Business Analytics, 2016 ~ 2017

GPA: 4.0
Client Project – Ports America Empty Container Analysis
  • Provide business insight into the company operating environment with Tableau and SQL.
  • Identify leading causes of the company resource wasting problem by using R and statistics tests.
  • Used machine learning model (e.g. random forest, regression, neural net work and SVM) to perform prediction.

Fu-jen Catholic University, BS Information Management, 2010 ~ 2014

Graduation Project
  • Develop Android based image voting app with Java


Resume
Hồ sơ của tôi
Profile 03 00@2x

Jae Huang

Experienced data engineer with Python, database and data pipeline.     

Taipei,TW | New York,US

  
[email protected]

Skills


Programming

Python / R / Java

SQL: MySQL / SQLite / Postgresql
GUI: TKinter / PyQt

Data Manipulation

Data Cleaning / Data Standardizing  / Feature Engineer / Data Modeling / LargeData Handling / Data Visualization


Others

macOS / Linux / Windows

BI Tool: Tableau / Google Data Studio

Self-learning: AWS / Docker / Airflow / MongoDB / Hadoop

Professional Experience

AGB Nielsen, Data Operation Engineer

Jul 2019 ~ Now | Taipei, Taiwan

  • Optimized applications on operation automating process, reduced data processing time 50-70% for each project
  • Designed operation dashboard to keep track on data collecting progress, built a Python-based data pipeline to keep updating new coming data and data integrity
  • Supported on consuming behavior analysis project with large data processing and user predictive analysis; designing an application to auto-generate statistic report for ad effect
  • Standardized the quarterly-recurring sampling work by designing an sampling application, simplified 50% of the steps

Chung Ying Physical Therapy & Acupuncture, Business Analyst

Jan 2018 ~ Mar 2019 | New York, US

  • Built marketing dashboard with Advanced Excel, SQL and Google Analytics for a weekly average of 80 new patients from various sources Electronic health record system, Google Business Insight, Zocdoc etc.
  • Leveraged R to design performance report to measure patient retention rate and improved from 4 to 8 visits per patient in 2018
  • Optimized patient review on 4.5+ rating by discovering provider's strength and improving weakness on Excel analysis
  • Delivered patient volume report with data visualization to stack holder to understand business efficiently, discovered seasonal pattern that increased 20% of new patient

Autonomous Professional Development Summer Project, Data Analyst

May 2018 ~ Aug 2018 | New York, US

  • Developed course-job recommendation model for APD training company by helping users choose courses to match their career goal, and calculate the likelihood of getting a job based on users' educational background
  • Used Selenium to crawl information from NYU CareerNet and NYU SPS school websites, reduced 90% processing time
  • Processed 2, 000 jobs and 446 courses text files through Python for data preparation and prototypes design
  • Quantified the similarity between course and job using different algorithm models tf-idf, LSI, etc. improved prediction accuracy from 30% to 67%.
  • Determined the model to apply on the defining business problem by model selection technique KL Divergence
  • Built and evaluated models to predict the probability of getting a job based on users' educational background

Kindness.org, Business Analytics intern

Sep 2017 ~ Dec 2017 | New York, US

  • Initiated KPI tracking system - Designed an easy to use dashboard to track the KPI achievement progress along with budget control; conducted an achievable timetable to reach the year goal.
  • Implemented web analytics - Identified the demographic of the kindness community; optimized the retention on website by recognizing user behavior with Google Analytics.
  • Constructed social media analytics - Using Python to build automatic generated social media report reducing 70% time on report; recognized the most effective Facebook fan page promotion; analyzed the cost and ad for fan page to support constructing the 2017 fall community growth plan.

Yahoo, E-Commerce Marketing Specialist

Apr 2014 ~ Dec 2014 | Taipei, Taiwan

  • Detected irregular web traffic and identified the leading cause by using Yahoo web analytics; kept sales run at 9M weekly
  • Developed Facebook fan page growth strategy through social media marketing analysis; led to page likes increased 200, 000 in 5 months, engagement grew 476%, monthly sales grew 310%

Education

Arizona State University, MS Business Analytics, 2016 ~ 2017

GPA: 4.0
Client Project – Ports America Empty Container Analysis
  • Provide business insight into the company operating environment with Tableau and SQL.
  • Identify leading causes of the company resource wasting problem by using R and statistics tests.
  • Used machine learning model (e.g. random forest, regression, neural net work and SVM) to perform prediction.

Fu-jen Catholic University, BS Information Management, 2010 ~ 2014

Graduation Project
  • Develop Android based image voting app with Java