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Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLO

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jeaend/README.md

Hi there, I'm Jeanne! 👋

I am a Data Scientist focused on bridging the gap between data science and engineering to ship robust, production-grade systems with measurable business impact.

🚀 Currently: Data Scientist (Intern) on the Customer Experience Operations (CXO) team at Wealthsimple.

🎓 Background: M.Sc. in Data Science & B.Sc. in Computer Science.

🔺 Check out my website to get more information about me and grab my CV. 🔺

🛠️ Tech Stack & Tools

  • Languages & Core: Python, SQL, Bash
  • Data & ML Infrastructure: dbt (Cloud & Core), Airflow, Redshift, BigQuery, Docker, Dimensional Modeling
  • Machine Learning & AI: scikit-learn, Pandas, NumPy, NLP, Foundation Model Embeddings, LLM Tooling & Function Calling (Claude Code)
  • Experimentation & Analytics: A/B Experimentation (Statsig, Braze), CX Analytics, Preset

📈 Let's Connect!

Screenshot 2026-07-08 at 9 48 08 PM

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  1. bias-mitigation-aif360 bias-mitigation-aif360 Public

    Comparative evaluation of pre-, in-, and post-processing bias mitigation methods using IBM AIF360 on Adult Income and COMPAS.

    Jupyter Notebook

  2. claude-second-brain claude-second-brain Public

    My second brain for my personal cc skills.

  3. ChatDocs ChatDocs Public

    A local AI assistant that helps developers query and understand Loop’s open-source GitHub documentation using Gemini and LangChain.

    Python 1

  4. tomato_timer tomato_timer Public

    Minimal Pomodoro Timer macOS Menubar App

    Python

  5. payment_routing_optimizer payment_routing_optimizer Public

    A machine learning project focused on optimizing the routing of credit card transactions to payment service providers (PSPs). The system predicts transaction success rates for each possible PSP.

    Jupyter Notebook

  6. Toronto_Shelter_Capacity Toronto_Shelter_Capacity Public

    This project examines the correlation between shelter occupancy rates and weather conditions in Toronto. By analyzing historical data, it aims to determine if weather influences occupancy rates. In…

    Jupyter Notebook