At Hugo Technologies, I audit large volumes of annotated and AI-generated data, investigate anomalies, and identify whether issues stem from guidelines, tooling, or human execution.
I designed an audit framework that raised measured data accuracy from 75% to 93% and reduced recurring quality issues by 35% through root cause analysis and corrective actions.
Earlier at Utiva, I collected, cleaned, and analysed large datasets, built PostgreSQL databases with validation checks, and produced recommendations that supported business operations.
I use SQL, Python, Power BI, Google Analytics 4, and Google Sheets to analyse behavioural, transaction, housing, bike-share, and appointment data and translate findings for stakeholders.
