Data Labeling and Categorization – Academic Project
As part of an academic project, I labeled, categorized, and validated structured datasets related to insurance claims. I applied statistical methods to ensure the accuracy and consistency of the data used in Collective Risk Model analysis. My work focused on maintaining data quality for risk modeling purposes. • Labeled insurance claims by frequency and severity. • Cleaned, validated, and categorized data for model input. • Used Microsoft Excel and Google Sheets extensively for annotation. • Ensured reliable outputs in collaboration with a project partner.