Data professional

- Developed Python-based solutions to automate data processing, analysis, and visualization workflows, generating dashboards and reports for KPI and performance monitoring. - Performed data quality analysis and validation on large-scale datasets, identifying inconsistencies, missing data, duplicate records, misclassifications, and other anomalies to ensure data accuracy and reliability. - Validated over 1.2 million vehicle detections across 10,000+ hours of monitoring data from 58 projects and 395 sites, performing systematic quality checks before delivery to clients. - Coordinated the preparation and quality assurance of 127 data batches across 3 datasets, producing 49,617 validated annotations to support data-driven AI model improvement and retraining. - Executed and monitored data processing pipelines in Linux-based environments using Google Cloud Platform, JupyterLab, and Gradio, supporting the processing of large-scale datasets. - Collaborated with international engineering teams and U.S.-based clients to clarify requirements, communicate findings, provide technical support, and follow up on project deliverables in English.

- Performed data quality control on traffic count datasets from 1,773 24-hour monitoring stations across the 14 departments of El Salvador, conducting data validation, consistency checks, anomaly detection, and error verification against infrastructure records and geolocation data. - Collected, organized, and consolidated transportation data on passenger volumes, routes, fares, and schedules from bus services near 15 train stations along the Mexico City–Querétaro and Querétaro–León corridors, supporting transportation data analysis.