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4-6 years
6-10 years
10-15 years
More than 15 years
Manager @GOMAJI 夠麻吉2017 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
・
Management Information Systems, General
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組
Past
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
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 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
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
Consultant @Startup2023 ~ 2024
・
Pre-sales/PM/Business Consultant/Business Analyst/System Analyst
Within one month
析解決方案，降低客戶和專案成本 • 獲頒 2022 年最佳表現者之一 • 增加2位顧問作為資源協助客戶的專案； 輔導新顧問 Business Data Analyst (Recommendation System Engineer) • 良興股份有限公司 MarchJuly 2020 | New Taipei City, Taiwan 背景 • 公司進行數位轉型 • 領導數據發展部的數據專案 Data Analytics 專案 • 負責市場洞察挖
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Fu Jen Catholic University
・
Brand and Fashion Management
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
reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks. MLOps / Machine Learning / Data Science Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration. Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance. Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
大氣科學所
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a recommender system based on real-world e-commerce sessions, 2023/02/08 - Bronze medal (solo): (Kaggle) H&M Personalized Fashion Recommendations: Provide product recommendations based on previous purchases, 2022/05
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Senior Software Engineer @International Integrated Systems, Inc.(IISI)2020 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan [email protected] Current Position: AI Team - Software Engineer at the Central Weather Bureau, specializing in machine learning. Tasks include image generation, numerical prediction, data calibration, recommendation systems, and text generation using data from satellites, radar, and geographic information. I stay updated on AI advancements by studying research papers and implementing new approaches into projects. Recently, I've focused on deploying Large Language Models (LLM) in customer-oriented chatbots. Proficient in Docker for establishing and maintaining development environments, deploying projects to client environments.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
私立中原大學 Chung Yuan Christian University
・
環境工程
Expertise & Innovation Lead, Cloud @fifty-five2023 ~ Present
・
Cloud Solution Architect
Within one month
and collaborative efforts. Data Specialist / R&D Institute for Information Industry OctOct 2023 Taipei, Taiwan - Digital Marketing & Traffic Optimization: Enhanced search traffic via strategic SEO for major platforms. - Large-Scale Website Project: Contributed to a high-value SaaS website launch, overseeing deployment and development. - Data Analysis & Systems : Developed GCP-centric data systems, boosting data integration and analysis. - Team Leadership & Innovation: Created a Vertex AI recommendation engine, advancing data team methodologies. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform Courses
Employed
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
Computer SciencePrincipal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
・
Machine Learning Engineer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
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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.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Data Engineer
Fields of Employment
Work experience
2-4 years
Management
Skills
Languages
Job search preferences
Positions
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
No
Educations
School
Arizona State University
Major
MS Business Analytics
Skills
Programming
Python / R / Java
SQL: MySQL / SQLite / PostgresqlGUI: 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
Skills
Programming
Python / R / Java
SQL: MySQL / SQLite / PostgresqlGUI: 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