• Exploratory analysis of transactional and financial data, defining KPIs, ratios and statistical indicators. • Implementation of 500+ association rules in Python and SǪL for fraud detection on financial platforms • Analysis of high-volume financial and transactional datasets for fraud detection, monitoring financial behavior patterns and anomalies

• Data analysis and integration from (Salesforce CRM, Pharma ERP systems, SQL databases and APIs) into Azure Data Lake. • Data validation and reconciliation to ensure consistency and business traceability. • Implementation of SharePoint-based document databases for HR, supported by Power Apps and Power Automate workflows to automate controlling, permissions and internal processes

• Automation of clipping processes through web scraping and API consumption. • Management of databases on CRM and public relations (PR) platforms with over 15,000 contacts using ETL processes, including automation with Python/SǪL scripts. • Translation of business requirements into data rules and analytical metrics, acting as liaison between technical teams and stakeholders. • Design of dashboards in Power BI, and quality control procedures.

• Geolocated over 5,000 customers using GIS tools, optimizing campaign segmentation. • Managed a WordPress database for over 1,200 qualified marketing contacts. • Strategic reports improving executive decision-making speed by 25%.

• Detect patterns of insurance and financial services consumption using R language in a dataset of over 250,000 records. • Review and validate annotations (text, image, video) following clear criteria, evidence, and actionable feedback