Data Scientist & Business Strategist

I turn complex data into
Business Decision

Simone De Giorgi. MSc Bocconi.
Building scalable pipelines and AI solutions that drive efficiency and answer critical business questions.

Deployed Solutions

Inflation Forecasting in Crisis

Evaluated 9 forecasting models (MLP, Ensemble, Bayesian DLMs) during economic shocks. Implemented Sequential Monte Carlo for regime-switching dynamics.

Bayesian DLM Time Series MCMC
Read Analysis →

Aircraft Delay NLP

End-to-end pipeline converting free-text pilot logs into structured data. Fine-tuned BERT models achieved 1.00 F1 on delay type classification.

BERT NLP Streamlit PyTorch
See App →

Automated Inventory

Warehouse automation using an ensemble of EfficientNet-B3, ResNet-50, and ConvNeXt to count pallets.

Computer Vision PyTorch CNN
Case Study →

NobelBet Platform

Full-stack betting platform for Nobel Prizes. Handles real-time user bets and live odds.

Next.js PostgreSQL Typescript

Price Intelligence

Scraper for Back Market. Handles JS-rendering to capture historical pricing trends.

Python Selenium SQL
View Code →

Medical AI Diagnosis

XGBoost classifier pipeline with SMOTE, RFE feature selection, and GridSearch optimization.

XGBoost Scikit-learn Healthcare
View Code →

Climate Forecasting

Bayesian Dynamic Linear Models & Hidden Markov Models (Gibbs Sampling) for temp trends.

Bayesian Stats HMM

Satellite Classification

Terrain classification using Random Forest & XGBoost on satellite imagery.

Remote Sensing Ensemble
View Code →

Professional Experience

June 2023 – Sept 2023

Finance Analyst Intern (Data & Automation)

Amazon Air EU • Luxembourg

  • Engineered end-to-end ETL pipelines (Python/SQL) for daily reporting, saving 10+ hours/week.
  • Developed scripts for 50+ KPI calculations and optimized route efficiency.
  • Built Amazon QuickSight dashboards with 20+ visualizations, improving reporting clarity by 10%.
Sept 2021 – Present

Business & Technology Specialist

De Giorgi Cosimo & Figli • Italy

  • Developed a custom Warehouse Management System to optimize slow-rotation goods storage, reducing picking time by 10%.
  • Conducted market research and supported strategic planning.

Education

2024 – 2026 (Expected)

MSc Economic & Social Sciences

Bocconi University • Milan

  • Relevant coursework: Algorithmic Decision Making, Computer Science (PhD), Empirical Industrial Organization, Time Series Analysis, Advanced Math & Statistics, Applied Machine Learning, Big Data.
Jan 2024 – May 2024

Exchange Program

Georgia Institute of Technology • Atlanta

  • Selected on merit. Focus: Technology & Operations, Corporate Finance.
2021 – 2024

BSc Economics & Management

Bocconi University • Milan

  • Grade: 110/110. Thesis on Monetary Policy & COVID-19.

Technical Stack

Languages

Python
SQL
R
Julia
JavaScript
TypeScript
HTML5

AI, ML & Data Science

PyTorch
TensorFlow
Hugging Face
Scikit-learn
Pandas
NumPy
SciPy
Matplotlib

Engineering, Web & Tools

AWS
Docker
PostgreSQL
MySQL
SQLite
Git
GitHub
Vercel
Next.js
Streamlit

Interests

Planes & Aviation
Swimming
Gym
Running
Physics
Reading