At Schneider Electric, I analyze structured records with Python and SQL, improving anomaly detection by 22%. I also validate analytical metrics and investigate data anomalies.
As a Data Analyst II, I automated 8 Python validation workflows, cutting monthly manual analysis effort by 30%. I documented reproducible analytical procedures to support cross-functional stakeholders during performance reviews.
Before that, as a Data Analyst at Schneider Electric, I queried and transformed relational records and developed KPI dashboards to improve visibility into operational performance trends.
In my academic research project, Economic Impact Assessment of Urban Development Policies, I analyzed policy documents and economic indicators to identify trends and produce evidence-based reports.
