CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Shih Hsin University
・
Management Information Systems, General
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 现在
・
Software Engineer
一個月內
margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學
・
生物產業機電工程所
經理 @鴻博資訊有限公司2015 ~ 现在
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
一個月內
of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful mathematical functions and array operations, capable of handling multidimensional arrays and matrix operations. In data processing and analysis, Numpy is an indispensable tool for efficiently handling large amounts of data. Pandas (Data Analysis Library) : Pandas is an important library in Python for data analysis and data processing. It offers powerful data structures such as DataFrame and Series, making data reading, manipulation, and
就职中
・
正在积极求职中
全职 / 我只想远端工作
10 到 15 年
崑工科技大學
・
電子工程
曾任
資訊工程師 @六點資訊科技有限公司2023 ~ 2024
・
軟體工程師
一個月內
Sean Wang Hello, I'm Sean. With over 9 years of extensive experience in software development, I excel in employing divergent thinking to address abstract client requirements and tackle various implementation challenges within systems. I specialize in integrating diverse user contexts and crafting solutions based on available resources. I enjoy analyzing the essence of things through multidimensional observation. New Taipei City, [email protected] Academic qualifications 2008//06 Chihlee University of Technology Information management Bachelor's graduation 2005//06 Ger Jyh Senior High School Data Processing Department Vocational
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
致理科技大學 Chihlee University of Technology
・
Information Management
OPC Chief Engineer @TSMC2020 ~ 现在
・
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
in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Chiao-Tung University
・
Ph.D. - Clinical EngineeringAsset & Facilities Management Officer @PT Dirgantara Indonesia (Indonesian Aerospace)2018 ~ 现在
・
Data Analyst, Budget/Cost Controller, Performance Management
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Universitas Widyatama
・
Business Management - Finance
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information Management
曾任
Mobile App Developer @Apple Inc.2014 ~ 现在
・
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
待业中
・
正在积极求职中
全职 / 我只想远端工作
6 到 10 年
The University of Hong Kong
・
Computer Engineering
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
台灣大學
・
大氣科學所最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
目前没有兴趣寻找新的机会
专业
数据科学家, 资料分析师, 数据分析师
产业
人工智能 / 机器学习, 大数据, 教育科技
工作年资
2 到 4 年工作经验（1 到 2 年相关工作经验）
管理经历
我有管理 1～5 人的经验
技能
语言能力
Indonesian
・
母语或双语
English
・
母语或双语
Chinese
・
进阶
求职偏好
希望获得的职位
Data Analyst 數據分析師 / Data Scientist 資料科學家
预期工作模式
全职
期望的工作地点
Taiwan, Indonesia
远端工作意愿
对远端工作有兴趣
接案服务
是，我利用业余时间接案
学历
学校
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.