Durango, Durango, Mexico
- Developed automated data pipelines using Python (Selenium, Pandas) to scrape and process large datasets, reducing manual data entry by 45%. - Engineered data visualization dashboards to identify key performance indicators (KPIs), directly supporting strategic decision-making for internal stakeholders. - Consolidated and cleansed large datasets from multiple sources, enabling accurate trend analysis and supporting comprehensive reporting for organizational initiatives.
- Developed a data normalization engine to standardize unstructured inputs from diverse cyber insurance questionnaires (AXA, Hiscox, Chubb), enabling accurate risk quantification for enterprise clients. -Modeled and integrated the MITRE ATT&CK and NIST CSF v2.0 frameworks into the application logic, creating a scalable data structure for automated threat assessment.
- Spearheaded the full-lifecycle development of a cross-platform mobile application using Ionic and React, digitizing medical workflows to reduce manual data entry by 40%. - Architected a serverless backend using Google Cloud Platform (Firebase & Cloud Functions) to enable real-time data synchronization and secure role-based access control (IAM). - Optimized application performance and API response times, decreasing server downtime by 25% during a 6-month pilot phase through efficient resource management.-
- Architected and deployed a full-stack e-commerce platform using React and Node.js, designing a normalized SQL database schema to manage dynamic inventory and sales data. - Engineered custom RESTful APIs to automate order processing workflows, reducing transaction latency by 35% and handling over 12,000 monthly requests. - Optimized backend SQL queries and frontend rendering, achieving a 20% increase in site load speed and directly improving SEO rankings.-