• Automated manual documentation using Python scripts and Power Automate, increasing team efficiency. • Designed AI-driven documentation workflows through prompts in Power Automate. • Led the definition of structure and work methodology for the Machine Learning team regarding transitions in KNIME HUB (QA and PRD). • Developed and researched a graph-based model to detect and predict fraud networks. • Created alert workflows in KNIME 5.4.1 for early error detection in data models. • Programmed and optimized workflows in KNIME SERVER 4.7.5, ensuring accurate execution of critical processes. • Managed and deployed workflows in KNIME HUB 5.4.1, with QA and PRD passes, guaranteeing operational quality and continuity. • Audited Machine Learning workflows in KNIME APP and KNIME HUB to ensure proper model creation and validation. • Automated processes that significantly reduced manual and repetitive work in Azure Synapse models with Analysis Services. • Led the migration from KNIME SERVER to KNIME HUB, improving collaboration and access to shared workflows. • Coordinated and administered workflows during the KNIME migration, ensuring a smooth and efficient transition. • Built monitoring reports in Power BI, enabling visual analysis of key metrics in models and workflows. • Conducted trend and KPI analysis for sales monitoring, applying statistical calculations to support decision making. • Implemented process automations with KNIME, Python, Anaconda, and Power BI, achieving a substantial reduction in hours spent on monitoring, manual documentation, and sales validation. • Led the creation of ILP’s first Advanced Analytics team, serving as auditor for the development of AI and Machine Learning models across all group companies.

GIS Project (Georefence Information System) • Performed advanced geospatial data analysis to identify patterns and trends. • Created and manipulated thematic maps using ArcGIS PRO and ArcGIS Online. • Developed spatial models for urban planning and resource management. • Built Experiences and Dashboards focused on geolocation to enhance information visualization. Machine Learning Project (Honduras) • Implemented predictive models with linear regression for balance prediction, achieving 80% accuracy. Training in Data Services Designer (El Salvador) • Trained teams in ETL flow creation and optimization, improving efficiency by 25%. Workbench Training (El Salvador) • Monitored jobs, load statistics, and error reviews. SAP BTP (Honduras) • Managed and utilized cloud databases (SAP HANA Cloud and SAP Data Lake).

Regulatory Entities Project (CNBS Honduras) • Migrated systems from AS400 to SAP, optimizing data load flows and reducing processing times by 30%. • Enhanced data load workflows for regulatory compliance. Decommission Project • Built ETL workflows for the Anti-Money Laundering department, automating and optimizing processes, reducing load time by 20%. • Optimized legacy processes, reducing execution times using modern tool components. Moven Project • Managed product data for a financial application, improving quality and accuracy for client decision-making. Migration to Data Services 4.2–4.3 • Led the migration of platforms and data repositories, ensuring operational continuity and improved security and load performance. • Managed DEV, QA, and PRD environments. • Created repositories, user roles, and permissions. ETL Processes • Data validation and cleansing. • Built both automated and manual ETL processes. • Programmed and optimized automated jobs at both component and query levels. • Integrated diverse data sources (Excel, CSV, RESTful/JSON APIs). Data Warehouse – CDR Project (Nicaragua) • Designed and created optimized tables for regulatory reporting, improving data accessibility and efficiency. • Automated report generation for credit portfolio and other critical areas, significantly reducing manual effort and improving accuracy.

• Developed a web application using ASP.NET, MVC, and Vue.js, facilitating internal management of small applications at BAC Credomatic.