About me

👋 Hi, I’m Ivy (Jiexin) Chen. I’m a Master’s student in Statistics at Columbia University, specializing in Machine Learning and Data Science. I previously earned my B.Sc. (First Class Honours) in Computer Science and Technology from Hong Kong Baptist University, and completed an exchange program at the University of Oxford with a focus on Artificial Intelligence & Machine Learning 🤖.

💡 I’m passionate about transforming data into actionable insights and practical solutions. My experience spans both academia and industry: as a Social Media Analyst Intern at StudyCo (Melbourne, hybrid), I built ETL pipelines, ran A/B tests, and grew followers from 3K → 30K+ 📈; And as a Data Scientist Intern at Wisers (Shanghai), developed NLP-based sentiment analysis systems 📝, fine-tuned BERT models (accuracy +4%), and analyzed large-scale Weibo data (500K+ records) using PySpark.

Actively Seeking Summer 2026 Internship Data Engineering (DE) Data Science (DS) ML Engineering (MLE)

⚙️ Technical Skills

Programming & Data Analysis
Python, R, Java, C, MATLAB, SQL, SPSS
Frameworks & Tools
Pandas, NumPy, Scikit-learn, PyTorch, PySpark, Hadoop, Kafka
Cloud & Experimentation
GCP, AWS (Certified Cloud Practitioner), A/B Testing
Web Development
HTML, CSS, JavaScript

🌍 Outside of academics, I enjoy exploring ☕ coffee culture, creating 🎬 content, and discovering how technology can connect people and ideas.

Ask Ivy

💡 Tip: You can ask me about my background, skills, projects or other topics!

Resume

Education

  1. Columbia University

    2025 — 2027
    • Master’s in Statistics (Advanced Machine Learning Track)

  2. Hong Kong Baptist University

    2021 — 2025
    • Bachelor of Science (Honours), First Class
    • Scholarships & Awards:
      • GPA: TOP 5%
      • Honorable Mention – Mathematical Contest in Modeling (MCM), 2024
      • Provincial 2nd Prize – Chinese Mathematical Competition, 2023
    • Core Courses:
      • Programming & Development: C Programming, Object-Oriented Programming, Systems & Web Development, Advanced Software Development
      • Algorithms & Data: Data Structures & Algorithms, Algorithm Analysis, Data Mining, Big Data Analytics
      • Systems: Database Systems, Compiler Construction, Operating Systems, Software Engineering, Data Communications & Networking
      • AI & ML: Machine Learning, Natural Language Processing

  3. University of Oxford

    2023 — 2023
    • Oxford International Study Abroad Programme in Artificial Intelligence & Machine Learning

Experience

  1. Social Media Analyst Intern — StudyCo.

    Jan 2023 — Present · Melbourne, Australia · Hybrid
    • Built ETL pipelines with SQL & Python to clean and consolidate multi-platform engagement data, improving reporting consistency by 30%.
    • Analyzed user behavior with Pandas & Scikit-learn, boosting campaign effectiveness and driving follower growth from 3K → 30K+.
    • Designed & executed A/B tests on posting time and content format, increasing engagement by 15% and CTR by 12%.
    • Delivered weekly reports & presentations with actionable insights for improved targeting and content strategy.

  2. Data Scientist Intern — Wisers Information Ltd.

    May 2023 — Aug 2023 · Shanghai, China · Hybrid
    • Built ETL pipelines with PySpark to preprocess 500K+ Weibo records for accurate sentiment analysis.
    • Applied NLP techniques (tokenization, POS tagging, feature extraction) and implemented sentiment analysis + LDA topic modeling to reveal public opinion trends.
    • Trained & optimized ML/DL models for sentiment classification, improving accuracy from 85% → 89% using BERT fine-tuning.

My Skills

  • Programming & Data Analysis

    Python, R, Java, C, MATLAB, SQL, SPSS

  • Web Development

    HTML, CSS, JavaScript

  • Frameworks & Tools

    Pandas, NumPy, Scikit-learn, PyTorch, PySpark, Hadoop, Kafka, Tableau, Excel

  • Cloud & Experimentation

    GCP, AWS (Certified Cloud Practitioner), A/B Testing

  • Core Expertise

    Machine Learning, Deep Learning, Natural Language Processing (NLP), Data Analytics, Data Engineering

Portfolio