Skip to content
View lucalullo's full-sized avatar
165 followers · 415 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: Rank 79 di 10.426 (miglior rank raggiunto: 76) · 11 medaglie
  • Notebooks Expert: Rank 751 di 62.362 · 13 medaglie

🛠 Stack Tecnologico

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

📂 Progetti in evidenza

Progetto Tema Strumenti & Highlights
Customer Support Agent AI Agent / HITL Google ADK, Gemini, classificazione email, escalation umana
Building an AI Agent AI Agent (from scratch) Agente a regole in Python puro, routing, parsing regex, memoria
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. House-prices House-prices Public

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

    Jupyter Notebook

  2. 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

  3. lucalullo lucalullo Public

    1

  4. Customer-support-agent Customer-support-agent Public

    About Kaggle Hackathon Capstone Project - Customer Support Agent

    Python 1

  5. building-an-ai-agent building-an-ai-agent Public

    Hands-on notebook that builds an AI agent from scratch in plain Python - no LLM, no frameworks. Manual tool routing, regex-based parsing, and state memory to make agent internals fully transparent.

    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