Natalia M.

Key Skills

Software

No software listed

Top Subject Matter

Customer financial/CRM data quality assurance and verification

Banking product application evaluation and fraud-prevention data checks

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Data Collection

Classification

Freelancer Overview

AEGIS S.A — Specialist (Data management, auditing, documentation validation). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor’s Degree, Universidad Nacional de Luján and Intensive English Program, Instituto Superior Cultural Británico (2021). AI-training focus includes data types such as Text and labeling workflows including Data Collection and Classification.

Labeling Experience

AEGIS S.A — Specialist (Data management, auditing, documentation validation)

TextData Collection

Conducted data validation and auditing of customer financial records stored in a CRM system to ensure compliance with internal protocols. Performed documentation checks to identify inconsistencies, errors, and missing fields, supporting high-quality dataset integrity. Monitored administrative workflows and tracked system requests against defined monthly quality targets. • Validated and cross-checked multi-record information for accuracy. • Identified data gaps and inconsistencies requiring correction. • Maintained structured databases for downstream reporting/operations. • Produced detailed written reports based on verified data extracts.

2014 - 2024

CAT TECHNOLOGIES — Financial Product Data Analyst (Verification and evaluation)

TextClassification

Evaluated and processed bank product applications using background verification and fraud-prevention checks. Maintained and cross-referenced multi-variable database requests to ensure seamless system approvals. Interpreted technical procedures and company policies to resolve complex customer inquiries accurately. • Performed document and data verification for application processing. • Ensured consistency across multi-variable database requests. • Conducted fraud-prevention data checks during evaluation. • Resolved inquiries by applying policy- and procedure-based rules.

2012 - 2014

Education

Work History