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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
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. (2) Achievement: Boosted customer conversion rates by 2% through
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
曾任
Mobile App Developer @Apple Inc.2014 ~ 現在
・
Lead Infrastructure Engineer
兩個月內
for performance and scalability. Developed databases that supported Web applications and Web sites. Developed system interaction and sequence diagrams. Big Data Engineer • Freelancer JuneJuly 2023 Built machine learning models using TensorFlow and Scikit-Learn libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark, MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立中央大學 National Central University
・
網路學習科技研究所
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
Vel Tien-Yun Wu I bring 5 years of hands-on experience in data engineering and software development, with a focus on building scalable data processing systems utilizing Hadoop, Spark, Kafka and Docker. My expertise in developing efficient ETL pipelines has been fundamental in optimizing data workflows for various data warehouses, enhancing data integrity and availability. My track record includes managing high-volume data pipelines, automating scheduling processes to improve operational efficiency, and deploying monitoring solutions that have reduced Mean-Time-To-Repair (MTTR) by 40%. I have a strong foundation in SQL, especially PostgreSQL, which enables
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information 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
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 files. Utilized Databricks for large-scale data processing, leveraging
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
曾任
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
兩個月內
陳昭儒(Chao-Ju Chen) Github [email protected] Education National Taiwan University Bachelor’s Degree, Electrical Engineering 2012 ~ 2017 Project Highlights Aggregating Files in one ETL, output 60B row to Data Warehouse Input :gzipped files(200GB in total) Task : Loading columns with values parsed from each gzipped file name. Wrote to BigQuery existing table(specific schema) in parallel. Tool: GCP Dataflow(Hosted Serverless Apache Beam) Result : The job took 40min to finish. Machine Type: n1-standard-1(1 vcpu, 3.75GB memory) Autoscaled up to 122 workers at peak. The data
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
電機工程學系
Functional Application @PT Sinergi Informatika Semen Indonesia (SISI)2023 ~ 現在
・
Data Engineer
一個月內
Viky Aji Siswantoro Gresik, East Java, [email protected] Viky Aji Siswantoro As a skilled data engineer with expertise in Python programming, data engineering, data analysis, machine learning, and data visualization with Tableau, I offer a comprehensive set of skills to tackle complex data challenges . With a background in data engineering, I have the ability to design, build, and maintain data pipelines, ensuring efficient and accurate data processing. I am proficient in using Python to implement scalable and reliable solutions, leveraging frameworks and libraries such as Pandas and NumPy. In addition to my data engineering
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
Universitas Muhammadiyah Gresik
・
InformaticsData Scientist @Delta Electronics, Inc. (台達電子工業 股份有限公司)2023 ~ 現在
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
國立交通大學（National Chiao Tung University, NCTU)
・
Computer/Information Technology Administration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
Diponegoro University
・
Geological/Geophysical Engineering
曾任
Technical Lead Backend Developer @PT. XL Axiata Tbk2022 ~ 現在
・
Project Lead / Tech Lead / Team Lead / Technical Manager
三個月內
API) and Microservices. Management Information System (MIS) • PT. XL Axiata Tbk AugustFebruary 2016 Create reporting, evaluate dashboards, and develop KPI reports. Additional increasing fluency in artificial intelligence and product life cycle analysis. assist the sales team in determining products that customers are interested in, through sales data analysis. increase sales by 10% by looking at previous sales data. DBA Consultant IBM SolidDB at Telkomsel • PT Anugrah Teknologi Indonesia JulyAugustInstallation of IBM Soliddb version 6.5 and 7.0 based on Linux (RHEL 5) -Configuring IBM Soliddb to synchronize two machines (Primary - Secondary
待業中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
State University of Jakarta (Universitas Negeri Jakarta)
・
Teknik Elektro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
數據科學家, 資料分析師, 數據分析師
產業
人工智慧 / 機器學習, 大數據, 教育科技
工作年資
2 到 4 年工作經驗（1 到 2 年相關工作經驗）
管理經歷
我有管理 1～5 人的經驗
技能
語言能力
Indonesian
・
母語或雙語
English
・
母語或雙語
Chinese
・
進階
求職偏好
希望獲得的職位
Data Analyst 數據分析師 / Data Scientist 資料科學家
預期工作模式
全職
期望的工作地點
Taiwan, Indonesia
遠端工作意願
對遠端工作有興趣
接案服務
是，我利用業餘時間接案
學歷
學校
國立臺北大學 National Taipei University
主修科系
Statistics
Felicia Wongso 王佩霞
Data Analyst
Statistics student @ N'tl Taipei Univ.
Taipei, Taiwan
A proactive problem-solver with 1+ years of data analytics experience
I am highly passionate about data and its applications. In the past, I have collaborated with international teams within the EdTech and R&D fields. With expertise in statistics, I have assisted in translating data into valuable insights and building prediction models with up to 75% accuracy. Moreover, I am an avid learner and have self-learned Python, SQL, and Power BI in the past year alone. My goal is to put my knowledge to good use and impact the world.
[email protected] • (+886) 938-988-325 • • 中文版
Skills
Tools
- R
- Python
- SAS
- MySQL
- Power BI
- HTML, CSS
Hard Skills
- Data Analysis
- Data Cleansing
- EDA, Data Visualization
- Data Mining
- Machine Learning
- Web Scraping
Language
- English — Bilingual proficiency (TOEIC: 955)
- Indonesian — Native
- Chinese — Advanced (7+ years)
Work Experience
Product Management Intern • QTCOMM Inc. 酷堤康科技股份有限公司
July 2022 - Present
• Develop functions of a travel app, calculate price models, and assist in designing its UI.
• Conduct market research and competitor analysis, explore potential paint points and provide innovative solutions.
• Perform application-wide software testing and optimize the user experience.
Research Assistant • Institute for Information Industry 財團法人資訊工業策進會
January 2022 - June 2022
- Research graduate flow trends of domestic and international students through journals, papers, and government longitudinal studies.
- Analyze, process, and visualize research datasets containing 7,500 variables and 12,000 observations using SAS and Power BI.
- Generate analytical reports on PowerPoint to present research findings.
Data Science Trainee • Institute for Information Industry 財團法人資訊工業策進會
- Developed an AI mock-interview web platform to analyze and predict interview performance while leading an international team of 4.
- Analyzed and performed feature engineering on video, audio, and text data using digital signal processing, Fourier transformation, and NLP.
- Built and trained prediction models using machine learning (scikit-learn) with a 75% accuracy and established the platform's web framework using Python (flask).
- Milestones:
- Winner of "Excellence Award" at the 2021 DIGI+ x TCA Global Talent Award
- Presented a research paper on the mock-interview platform at IEEE International Conference on Information and Education Technology (ICIET 2022)
Data Science Intern • Sensay Ltd.
June 2021 - September 2021
Sensay is a speech-based startup aiming to boost students' confidence in speaking English.
- Researched local and international English assessments, and developed an automated English speaking assessment product.
- Collaborated with an international team in a fast-paced startup environment to develop product models with a 72% accuracy using web crawling and NLP techniques in Python.
- Performed statistical analysis and diagnostics using R to maintain the reliability and validity of existing products, and identified key metrics for product development.
Education
National Taipei University 國立臺北大學
Major in Statistics | 2018 - 2022
- GPA: 3.9/4
- Certifications:
- Non-Degree Bachelor Program in Big Data and Data Mining
- Non-Degree Bachelor Program in Statistical Computing
- Non-Degree Bachelor Micro-Program in Artificial Intelligence
- Micro Certificate Program for Advanced English for General Purposes (A-EGP)
- Organizations: Public Information Director at Overseas Chinese and Foreign Student Association
Other Experiences
International Conference
- Presented and published at IEEE International Conference on Information and Education Technology (ICIET 2022).
- Paper title: An AI Mock-Interview Platform for Interview Performance Analysis
Competition
- Winner of "Excellence Award" at 2021 DIGI+ x TCA Global Talent Award
- Project title: Training and Development of Learning Platform Data Model
Student Association
Served as the Public Information Committee at NTPU Overseas Chinese and Foreign Student Association.
YouthRocks Career Planning Bootcamp
Attended a two-day workshop revolving around career building and the startup industry.
Certifications
Complete Python Developer in 2022: Zero to Mastery
Zero to Mastery Academy
2021.12 | 🔗Certificate link
Big Data Analytics: Business Applications and Strategic Decisions
National Taiwan University
2021.11 | 🔗Certificate link
Recommendations
Caren Chen
Founder @ Sensay
Felicia was our data science intern in 2021 and still helps Sensay out occasionally because we simply adore her. I could not recommend a young talent more! Her advanced statistical analysis and extensive research helped us tremendously in our product development. If anyone is hiring in the areas of data science/research analysis, you’ll definitely want to speak with Felicia!
Projects
Tools: Python, R
Mood Classification of Popular Music
This project is currently in progress.
Our goal is to categorize songs using "mood" rather than "genre" to make it more intuitive and easier for listeners to identify the song they want to listen to.
- Web crawling using various APIs to collect song data.
- Build a predictive model to detect moods in songs through audio and lyric data, and use technologies such as NLP and machine learning.
AI Mock Interview Platform
This platform helps job seekers understand their interview performance and enhance their interview skills.
- First, the platform collects and analyzes the user's facial expressions, body, voice, and semantic features using digital signal processing and NLP.
- Next, we use machine learning models to evaluate the user's interview performance.
- Last, the platform produces a quantitative report immediately after the user completes the mock interview.
Tools: Python, HTML, CSS, JavaScript
Felicia Wongso 王佩霞
Data Analyst
Statistics student @ N'tl Taipei Univ.
Taipei, Taiwan
A proactive problem-solver with 1+ years of data analytics experience
I am highly passionate about data and its applications. In the past, I have collaborated with international teams within the EdTech and R&D fields. With expertise in statistics, I have assisted in translating data into valuable insights and building prediction models with up to 75% accuracy. Moreover, I am an avid learner and have self-learned Python, SQL, and Power BI in the past year alone. My goal is to put my knowledge to good use and impact the world.
[email protected] • (+886) 938-988-325 • • 中文版
Skills
Tools
- R
- Python
- SAS
- MySQL
- Power BI
- HTML, CSS
Hard Skills
- Data Analysis
- Data Cleansing
- EDA, Data Visualization
- Data Mining
- Machine Learning
- Web Scraping
Language
- English — Bilingual proficiency (TOEIC: 955)
- Indonesian — Native
- Chinese — Advanced (7+ years)
Work Experience
Product Management Intern • QTCOMM Inc. 酷堤康科技股份有限公司
July 2022 - Present
• Develop functions of a travel app, calculate price models, and assist in designing its UI.
• Conduct market research and competitor analysis, explore potential paint points and provide innovative solutions.
• Perform application-wide software testing and optimize the user experience.
Research Assistant • Institute for Information Industry 財團法人資訊工業策進會
January 2022 - June 2022
- Research graduate flow trends of domestic and international students through journals, papers, and government longitudinal studies.
- Analyze, process, and visualize research datasets containing 7,500 variables and 12,000 observations using SAS and Power BI.
- Generate analytical reports on PowerPoint to present research findings.
Data Science Trainee • Institute for Information Industry 財團法人資訊工業策進會
- Developed an AI mock-interview web platform to analyze and predict interview performance while leading an international team of 4.
- Analyzed and performed feature engineering on video, audio, and text data using digital signal processing, Fourier transformation, and NLP.
- Built and trained prediction models using machine learning (scikit-learn) with a 75% accuracy and established the platform's web framework using Python (flask).
- Milestones:
- Winner of "Excellence Award" at the 2021 DIGI+ x TCA Global Talent Award
- Presented a research paper on the mock-interview platform at IEEE International Conference on Information and Education Technology (ICIET 2022)
Data Science Intern • Sensay Ltd.
June 2021 - September 2021
Sensay is a speech-based startup aiming to boost students' confidence in speaking English.
- Researched local and international English assessments, and developed an automated English speaking assessment product.
- Collaborated with an international team in a fast-paced startup environment to develop product models with a 72% accuracy using web crawling and NLP techniques in Python.
- Performed statistical analysis and diagnostics using R to maintain the reliability and validity of existing products, and identified key metrics for product development.
Education
National Taipei University 國立臺北大學
Major in Statistics | 2018 - 2022
- GPA: 3.9/4
- Certifications:
- Non-Degree Bachelor Program in Big Data and Data Mining
- Non-Degree Bachelor Program in Statistical Computing
- Non-Degree Bachelor Micro-Program in Artificial Intelligence
- Micro Certificate Program for Advanced English for General Purposes (A-EGP)
- Organizations: Public Information Director at Overseas Chinese and Foreign Student Association
Other Experiences
International Conference
- Presented and published at IEEE International Conference on Information and Education Technology (ICIET 2022).
- Paper title: An AI Mock-Interview Platform for Interview Performance Analysis
Competition
- Winner of "Excellence Award" at 2021 DIGI+ x TCA Global Talent Award
- Project title: Training and Development of Learning Platform Data Model
Student Association
Served as the Public Information Committee at NTPU Overseas Chinese and Foreign Student Association.
YouthRocks Career Planning Bootcamp
Attended a two-day workshop revolving around career building and the startup industry.
Certifications
Complete Python Developer in 2022: Zero to Mastery
Zero to Mastery Academy
2021.12 | 🔗Certificate link
Big Data Analytics: Business Applications and Strategic Decisions
National Taiwan University
2021.11 | 🔗Certificate link
Recommendations
Caren Chen
Founder @ Sensay
Felicia was our data science intern in 2021 and still helps Sensay out occasionally because we simply adore her. I could not recommend a young talent more! Her advanced statistical analysis and extensive research helped us tremendously in our product development. If anyone is hiring in the areas of data science/research analysis, you’ll definitely want to speak with Felicia!
Projects
Tools: Python, R
Mood Classification of Popular Music
This project is currently in progress.
Our goal is to categorize songs using "mood" rather than "genre" to make it more intuitive and easier for listeners to identify the song they want to listen to.
- Web crawling using various APIs to collect song data.
- Build a predictive model to detect moods in songs through audio and lyric data, and use technologies such as NLP and machine learning.
AI Mock Interview Platform
This platform helps job seekers understand their interview performance and enhance their interview skills.
- First, the platform collects and analyzes the user's facial expressions, body, voice, and semantic features using digital signal processing and NLP.
- Next, we use machine learning models to evaluate the user's interview performance.
- Last, the platform produces a quantitative report immediately after the user completes the mock interview.