Nicola Scognamiglio

Upcoming data science role in the HR department's People Analytics team, focused on turning workforce data into analytical products for better organizational decisions.

• People analytics work at the intersection of data science, human resources and institutional decision-making.
• Expected focus on data products, metrics, reporting and evidence-based insights for HR stakeholders.
• Continuation of my path in European institutions, applied analytics and responsible use of data.

Worked in a European regulatory environment on risk analysis, supervisory reporting, data quality and AI-supported workflows for financial supervision.

• Contributed to the 2025 IORP Stress Test, developing analytical tools for reconciliation, reporting and portfolio impact analysis.
• Built and monitored risk indicators through automated dashboards in Power BI and R, tracking market developments and exposures.
• Prepared recurring monitoring outputs, tables, charts and summary views for internal stakeholders with emphasis on clarity and consistency.
• Performed completeness checks, reconciliations and cross-validation on reporting inputs to improve data quality and traceability.
• Implemented a Retrieval-Augmented Generation model with Azure AI and Python for regulatory text analysis, supporting calibration and validation.
• Documented reporting logic and analytical workflows to support version control, continuity and handover of deliverables.

Exploratory research on natural language processing for legal texts inside Italy's national statistical institute.

• Tested NLP approaches for automatic analysis and classification of legal texts.
• Supported experimentation on unstructured text data, from preprocessing to interpretation of analytical outputs.
• Produced structured summaries of findings for research activities and audiences with different technical backgrounds.