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    MatteoMirgone/README.md

    Matteo Mirgone

    MS Applied Data Science @ The University of Chicago · Business Engineering @ KU Leuven


    About

    I work at the intersection of data science and business strategy — building models that translate cleanly into decisions for non-technical stakeholders. My training spans classical statistics (OLS, GLM, time series), applied machine learning, and modern NLP (transformer fine-tuning, RAG pipelines, topic modeling at scale). I'm most interested in roles where quantitative work has to make it out of the notebook and into a conversation with an operator, an analyst, or a founder.

    I grew up across six countries, hold dual EU/US citizenship, and work in four languages. That background makes me particularly drawn to companies operating across borders — marketplaces, fintech, mobility, and logistics platforms where the data is messy in more than one jurisdiction at a time.

    Currently

    • Spring 2026 capstone with HERE Technologies — building an AI agent that automates quality checks on operator-resolved support tickets (team "Ground Truth").
    • Coursework in Generative AI (RAG systems, embeddings) and ML II (optimization, regularization, transformer architectures).
    • Portfolio build-out — migrating academic and consulting projects into public repositories with proper documentation.

    Featured projects

    ProjectDomainStackRepo
    Carbon Intensity of Electricity — Cross-country OLSEnergy · EconometricsPython · statsmodels · HC3 robust SEcarbon-intensity-regression
    AI Impact Analysis — 191K news articles, 2022–2026NLP at scaleBERTopic · DistilBERT fine-tuning · spaCy NERai-impact-analysis
    WELFake Fake News DetectionApplied MLscikit-learn · Ridge Classifier · text pipelineswelfake-fake-news-detection
    CTA Ridership ForecastingTime seriesSARIMA · GARCH · Prophet · LSTMcta-ridership-forecasting
    Multimodal RAG for E-commerceVision-language RAGCLIP · ChromaDB · Llama 3.1 · Streamlitmultimodal-rag-ecommerce
    HERE Places: Customer Issue ManagementLLM agentsRAG · evaluation · workflow automationin progress

    Each repo includes a detailed README, reproducibility instructions, and methodology notes. For write-ups of projects I can't open-source (company take-homes, consulting engagements), I'm happy to share privately on request.

    Collaborations

    Team projects from coursework and hackathons. Repos linked are my forks; original authorship credit remains with the upstream repositories.

    ProjectContextStackRepo
    Face2BMI — predicting BMI from face imagesUChicago Machine Learning II final projectPython · CV/ML · web appFace2BMI (fork of Minhao-Zhang/Face2BMI)
    RAG chatbot for UChicago MSADS program Q&AUChicago Generative AI class projectPython · RAG · LLMs · JupyterRAG_interactiveAI_MSADS (fork of dorajy8/RAG_interactiveAI_MSADS)
    Nemo — Uncommon Hacks 2026UChicago Uncommon Hacks 2026 hackathon (team: Will · Valentina · Matteo · Josh)Python · HTMLNemo

    Technical toolkit

    Languages Python · R · SQL · LaTeX Machine learning scikit-learn · statsmodels · PyTorch · Hugging Face Transformers NLP transformers · spaCy · BERTopic · ChromaDB · sentence-transformers Time series ARIMA / SARIMA · GARCH · Prophet · LSTM · DeepAR · N-BEATS · TimeGPT Data & BI pandas · NumPy · Power BI · Microsoft Fabric · ETL pipelines Visualization matplotlib · seaborn · Plotly Tooling Git · Jupyter · Linux · Docker (intermediate)

    Background

    Education

    • The University of Chicago — MS in Applied Data Science (2025–2026) — merit scholarship
    • KU Leuven — Business Engineering

    Selected experience

    • Data & Business Intelligence Intern — SMT Belgium (Power BI, Microsoft Fabric, ETL, governance standards)
    • Consultant — UChicago Gargoyle Consulting Club (healthtech AI startup engagement)
    • Research contributor — KU Leuven × NGO Sabore's Well (humanitarian water pricing, Kenya)
    • PIP Consultant — Ray & Jules Sustainable Coffee (competitive intelligence)
    • Secretary & Marketing — Rotaract KU Leuven

    Languages English · Dutch · Italian · French

    Get in touch


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    1. ai-impact-analysisai-impact-analysisPublic

      End-to-end NLP pipeline on 191K news articles: BERTopic topic modeling, spaCy NER, DistilBERT sentiment fine-tuning (95.6% acc), and temporal industry analysis.

      Jupyter Notebook

    2. carbon-intensity-regressioncarbon-intensity-regressionPublic

      Cross-country OLS regression of electricity carbon intensity on energy-mix composition.

      Jupyter Notebook 1

    3. welfake-fake-news-detectionwelfake-fake-news-detectionPublic

      Fake news classification on WELFake benchmark (14 classifiers, TF-IDF + handcrafted features, unsupervised analysis). Ridge Classifier F1 = 0.977, validated via 5-fold CV + learning curves.

      Jupyter Notebook

    4. cta-ridership-forecastingcta-ridership-forecastingPublic

      Daily CTA ridership forecasting (SARIMA, GARCH, Prophet, LSTM) with a Chow / SARIMAX / Bayesian Causal Impact analysis of COVID-19's permanent effect.

      Jupyter Notebook 1