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Isacapps/README.md

Isabella Cappiello

Junior Data Scientist | Research Analyst

LinkedIn | Interactive Shiny Dashboard | 📄 Download Full CV (PDF)

Double Degree MSc Candidate (IT/FR) specializing in Causal Inference, Spatio-Temporal ML, and programmatic pipelines for policy evaluation. Balancing graduate research with full-time STEM knowledge transfer.

🔬 Core Expertise & Technical Stack

Category Skills & Frameworks
Methodologies Causal Inference (Staggered DiD), Spatio-Temporal Statistics, Advanced Econometrics
Technical Stack R (tidyverse, sf, leaflet), Python (scikit-learn, pandas), SQL, Git, R Shiny
Languages English (C1 - Professional), Italian (Native), French (A2)

🚀 Featured Research & Production Pipelines

📍 Spatio-Temporal Analysis: Impact of "1-Euro Houses"

  • Context: Master's Thesis Project | R, Shiny, sf, leaflet
  • Harmonized 20+ years of ISTAT/MEF institutional datasets (7,900+ municipalities) via recursive spatial algorithms to handle administrative boundary changes.
  • Estimated socio-economic treatment effects utilizing Staggered Difference-in-Differences (DiD).
  • 🌐 Live App: Explore the Interactive Geospatial Dashboard

🏫 Institutional Knowledge Transfer & Operations

  • Role: STEM Educator (Data Analytics & Digital Literacy)
  • Designing and executing data integrity workflows and computational logic training for 200+ users in public institutions.

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    Academic project solving the Orienteering Problem to optimize a customized Interrail trip through Southern Europe

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    Statistical data analysis of cultural and entertainment participation in Italy using ISTAT 2019–2020 microdata. Focus on the impact of COVID-19 across regions, age groups, gender, and education lev…

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  4. R-Projects R-Projects Public

    This directory contains R scripts developed for quantitative analysis, featuring automated data cleaning pipelines and high-quality graphical representations for academic reporting.

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    Predictive modeling of student depression determinants. Features an end-to-end pipeline: rigorous data preprocessing, statistical visualization (EDA), and classification via supervised Machine Lear…

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  6. Python-Projects Python-Projects Public

    Computational projects implemented in Python, utilizing libraries such as Pandas, Scikit-learn, and Matplotlib for exploratory data analysis and predictive modeling.