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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Manager @GOMAJI 夠麻吉2017 ~ 現在
・
Project Lead / Tech Lead / Team Lead / Technical Manager
一個月內
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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
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
一個月內
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
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
一個月內
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
臺灣大學
・
流行病學與預防醫學所 生物統計組
曾任
Senior Data Analyst @趨勢科技2022 ~ 現在
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
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
一個月內
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
就職中
・
正在積極求職中
全職 / 暫不考慮遠端工作
4 到 6 年
Fu Jen Catholic University
・
Brand and Fashion Management
曾任
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
一個月內
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
台灣大學
・
大氣科學所
Data science lecturer @Ittraining2020 ~ 現在
・
Data Scientist 資料科學家_數據分析師
一個月內
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
就職中
・
目前會考慮了解新的機會
兼職 / 對遠端工作有興趣
15 年以上
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Senior Software Engineer @International Integrated Systems, Inc.(IISI)2020 ~ 現在
・
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
一個月內
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.
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
私立中原大學 Chung Yuan Christian University
・
環境工程
Expertise & Innovation Lead, Cloud @fifty-five2023 ~ 現在
・
Cloud Solution Architect
一個月內
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
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chengchi University
・
Computer Science就職中
全職 / 對遠端工作有興趣
6 到 10 年
國立台灣大學
・
經濟學最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
目前沒有興趣尋找新的機會
專業
數據工程師
產業
工作年資
2 到 4 年
管理經歷
技能
語言能力
求職偏好
希望獲得的職位
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
預期工作模式
全職
期望的工作地點
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
Arizona State University
主修科系
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