Skip to content
View lucalullo's full-sized avatar
140 followers · 364 following

Block or report lucalullo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lucalullo/README.md

Luca Lullo - Data Scientist

Data Scientist indipendente specializzato in data analysis, data cleaning avanzato e machine learning.

Sviluppo dataset, notebook e modelli predittivi in diversi ambiti, con particolare attenzione all’analisi di dati pubblici, sistemi istituzionali e dinamiche socio-economiche. Mi occupo di integrazione di dataset eterogenei, costruzione di indicatori comparabili e sviluppo di analisi riproducibili per auditing, ricerca e supporto alle decisioni, utilizzando Python per trasformare dati complessi in informazioni affidabili e utilizzabili.

🏆 Kaggle 2x Expert

Kaggle

  • Datasets Expert: Top 100 globale (Rank 87) · 15 dataset pubblici con Usability Score 10.0
  • Notebooks Expert: Rank ~1.098 · 25+ notebook pubblicati

🛠 Stack Tecnologico

Python Pandas Scikit-learn XGBoost LightGBM CatBoost TensorFlow Keras PyTorch Plotly SQL

📂 Progetti in evidenza

Progetto Tema Strumenti & Highlights
Global Inequality and Poverty (1980–2024) Socio-Economia Data integration, indicatori globali comparabili
Italian Justice System Workload Dati Istituzionali Analisi civile/penale 2003–2024, auditing
Home Credit Default Risk Credit Risk ML XGBoost, LightGBM, SHAP, feature engineering
Global Emissions & Temperature Clima / Serie Storiche CO₂, GHG, temperature 1950–2024

📬 Contatti

LinkedIn

Pinned Loading

  1. Customer-churn Customer-churn Public

    Customer churn prediction using Random Forest and class-weight balancing. Detailed EDA and feature engineering on telecom industry data.

    Jupyter Notebook

  2. House-prices House-prices Public

    Predicting house prices using Ridge Regression, Skewness transformation and Advanced Feature Engineering.

    Jupyter Notebook

  3. Used-car-prices Used-car-prices Public

    Machine learning project to predict used car prices with feature engineering and LightGBM.

    Jupyter Notebook

  4. Italian-justice-workload Italian-justice-workload Public

    Multidimensional analysis of the Italian justice system workload (2003–2024). A study of civil and criminal proceedings using judicial pressure and litigation indicators.

    Jupyter Notebook

  5. Home-credit-default-risk Home-credit-default-risk Public

    Machine learning project to predict credit default risk with feature engineering, XGBoost and SHAP interpretability.

    Jupyter Notebook

  6. Global-emissions-and-temperature-1950-2024 Global-emissions-and-temperature-1950-2024 Public

    Global climate analysis covering 75 years of CO₂, greenhouse gas emissions and mean surface temperatures across countries (1950–2024). Built with Pandas, Matplotlib, Seaborn and Plotly.

    Jupyter Notebook