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6-10 years
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More than 15 years
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
Within two months
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Pennsylvania
・
Economics
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司2022 ~ Present
・
Software Developer
Within one month
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Queensland University of Technology(昆士蘭科技大學)
・
Computer Science
Employed
Full-time
4-6 years
國立中央大學
・
認知與神經科學所Senior Backend Developer @KryptoGO., Ltd.2019 ~ 2020
・
Senior Backend Engineer
Within three months
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National TSING HUA University
・
Institute of Communications Engineering
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
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
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Founder @MyDearTeacher2014 ~ 2022
・
Data, backend or project management
Within six months
Employed
Full-time / Interested in working remotely
6-10 years
University of Colorado Boulder
・
Data Science
Sessional Assistant @Victoria University of Wellington2022 ~ 2023
・
Researcher, Lecturer
Within six months
Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.
Studying
Full-time / Interested in working remotely
6-10 years
University of Management and Technology - UMT
Software Engineer @CakeResume2022 ~ Present
・
Software Engineer
Within one month
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
Reputation Credits1
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Computer Science and Information Engineering
Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力，擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
資訊科學系
AI Engineer @Playsee2022 ~ Present
・
資料分析師、資料科學家、產品經理
Within one month
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
・
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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 Scientist, Information Analyst, Data Analyst
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, EdTech
Work experience
2-4 years work experience (1-2 years relevant)
Management
I've had experience in managing 1-5 people
Skills
Languages
Indonesian
・
Native or Bilingual
English
・
Native or Bilingual
Chinese
・
Fluent
Job search preferences
Positions
Data Analyst 數據分析師 / Data Scientist 資料科學家
Job types
Full-time
Locations
Taiwan, Indonesia
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
國立臺北大學 National Taipei University
Major
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.