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stephrs/README.md

Hi there, I'm Stephen! 👋

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Data Science Undergraduate at Universitas Airlangga 🇮🇩

"Passionate about bridging the gap between Data Science and Business Strategy to drive impactful innovation."

🧐 About Me

I am a first-year student majoring in Data Science Technology. My journey is driven by a curiosity to understand how data shapes business decisions. Currently preparing for my future master's degree in Germany 🇩🇪.

  • 🔭 I’m currently studying: Data Science an AI
  • 🌱 I’m currently learning: Data Analysis & Business Logic.

🛠️ Tech & Tools

My arsenal for solving problems (updating as I learn):

📫 Let's Connect

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  1. German-Car-Pricing-Strategy German-Car-Pricing-Strategy Public

    Predicting German used car prices using Linear Regression & Business Analytics.

    Jupyter Notebook

  2. Telco-Customer-Retention-AI Telco-Customer-Retention-AI Public

    Minimizing revenue loss by predicting customer churn using CatBoost & Random Forest, and identifying root causes via behavioral analysis.

    Jupyter Notebook

  3. AI-Road-Safety-Risk-Prediction AI-Road-Safety-Risk-Prediction Public

    Predicting traffic accident risk using Physics-Informed Feature Engineering and Advanced Stacking Ensemble (XGBoost, LightGBM, CatBoost).

    Jupyter Notebook

  4. AI-Heart-Disease-Detector AI-Heart-Disease-Detector Public

    Early detection of heart disease using Random Forest and Streamlit Dashboard.

    Python

  5. CineMatch-AI CineMatch-AI Public

    A Content-Based Movie Recommendation Engine built with Streamlit and Python. Uses NLP (TF-IDF & Cosine Similarity) to suggest movies based on plot and metadata.

    Python