Tanmay Dongarsi

Processed healthcare insurance claims and verified claim information against client and process guidelines. Reviewed medical codes, billing records, policy limits, eligibility details, and supporting documentation to validate claim accuracy. Investigated discrepancies and resolved customer and billing issues while meeting quality and turnaround-time standards. Performed documentation and data validation, maintained SLA, productivity, quality, confidentiality, and compliance requirements, and supported training, knowledge sharing, and escalations to improve process consistency.

Labeled and annotated high volumes of structured and unstructured data for AI/ML datasets according to project guidelines and annotation standards. Performed validation and quality checks with approximately 99% annotation accuracy, identified edge cases and data-quality issues, corrected labeling inconsistencies, met productivity and turnaround targets, and collaborated with quality and operations teams to resolve ambiguous cases.

Labeled and annotated high volumes of structured and unstructured data for AI and machine-learning datasets while following detailed project guidelines and annotation standards. Performed data validation and quality checks across large datasets, maintaining approximately 99% annotation accuracy. Identified edge cases, inconsistencies, missing information, and other data-quality issues, and applied corrective actions to improve dataset reliability. Managed high-volume workloads while meeting productivity, quality, confidentiality, and turnaround-time targets. Reviewed completed annotations, corrected labeling issues, and collaborated with quality and operations teams to resolve ambiguous cases.