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



  • R
  • Python
  • SAS
  • MySQL
  • Power BI

Hard Skills

  • Data Analysis
  • Data Cleansing
  • EDA, Data Visualization
  • Data Mining
  • Machine Learning
  • Web Scraping


  • English — Bilingual proficiency (TOEIC: 955)
  • Indonesian — Native
  • Chinese — Advanced (7+ years)

Work Experience

Research Assistant  •  Institute for Information Industry 財團法人資訊工業策進會

January 2022 - Present

  • 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

July 2021 - December 2021

  • 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.


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)
  • OrganizationsPublic 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


  • 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.



Complete Python Developer in 2022: Zero to Mastery

Zero to Mastery Academy

2021.12 | 🔗Certificate link

Microsoft Certified: Azure AI Fundamentals


2021.12 | 🔗Certificate link

SAS Certified Specialist: Base Programming Using SAS 9.4


2021.11 | 🔗Certificate link

Big Data Analytics: Business Applications and Strategic Decisions

National Taiwan University

2021.11 | 🔗Certificate link


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! 


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