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  • Jönköping, Sverige
  • 13:24 (UTC +02:00)

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marcuccinicolo/README.md

Hi there, I'm Nicolò! 👋

I'm a Student and Python Enthusiast passionate about turning raw data into meaningful stories. I'm currently focusing on learning data analysis workflows and building tools that simplify data exploration.

🛠 Tech Stack

  • Languages: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL
  • Databases: SQLite
  • Tools: QGIS, GeoDA, Git & GitHub, Jupyter Notebooks, Microsoft Excel, Stata

📬 How to reach me

"The goal is to turn data into information, and information into insight."

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  1. retirement-financial-stress retirement-financial-stress Public

    Econometric analysis of the causal impact of retirement on perceived financial stress, using the Italian 2011 "Fornero" Pension Reform as a quasi-natural experiment.

    Python

  2. ZTL-Impact-Analysis ZTL-Impact-Analysis Public

    Econometric analysis of the impact of Limited Traffic Zones (ZTL) on PM10 levels in Italian cities using a Difference-in-Differences (DiD) approach.

    Python

  3. House-Price-Prediction-ML House-Price-Prediction-ML Public

    Predictive modeling of real estate prices in King County (Seattle) using Random Forest Regressor. Features include EDA, feature engineering, and performance evaluation with an R² score of 0.85.

    Python

  4. Customer-Churn-Prediction-ML Customer-Churn-Prediction-ML Public

    Predicting customer churn using Random Forest and Python.

    Python