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Rohan-Joseph-2002/README.md

Hi, I'm Rohan! waving hand

📍 Oxford, UK • 💼 LinkedIn • ✉️ Email • 🎓 Google Scholar • 📄 CV

🔬 Researcher & Data Scientist - Health, Economics, and AI
🏛️ Predoctoral Researcher, Ellison Institute of Technology Oxford
📊 BSc Statistics, The University of British Columbia

→ Live Dashboard — Explore the gap between AI capability and observed AI use, occupation by occupation

I work at the intersection of data science, empirical economics, and research engineering, designing end-to-end systems for credible analysis. I focus on problems where measurement is difficult, data is imperfect, and decisions depend on careful empirical structure.

My work starts with public, administrative, or unstructured data, moves through data linkage and dataset construction, and culminates in papers, dashboards, reproducible pipelines, or decision-ready outputs. Across projects, I prioritise measurement, transparency, scalability, and results that are easy to inspect.

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  1. ai-occupation-adoption-gap-analysis ai-occupation-adoption-gap-analysis Public

    Public-data analysis of the gap between AI capability exposure and observed workplace use across occupations.

    R

  2. ai-occupation-adoption-gap-dashboard ai-occupation-adoption-gap-dashboard Public

    Streamlit and DuckDB dashboard for exploring occupation-level gaps between AI capability exposure and observed workplace use.

    Python

  3. bayesian-unemployment-forecasting-analysis bayesian-unemployment-forecasting-analysis Public

    Bayesian state-space analysis of U.S. unemployment forecasting, model comparison, and predictive uncertainty.

    R

  4. analyst-report-entity-resolution analyst-report-entity-resolution Public

    Entity-resolution pipeline for matching analyst and brokerage identities across LSEG-style report data and IBES reference files.

    Python

  5. darkweb-text-analysis-pipeline darkweb-text-analysis-pipeline Public

    Sample-backed text analysis pipeline for dark-web listings and forum posts using classification and topic summaries.

    Python

  6. privacy-disclosures-pipeline privacy-disclosures-pipeline Public

    Pipeline for standardizing and harmonizing iOS privacy labels and Android safety disclosures into a shared analytical dataset.

    Python