Processed and validated raw experimental data from field trials for agrochemical registration in diverse agricultural crops, ensuring accuracy and compliance with regulatory standards using Excel and R. Conducted advanced statistical analyses, including ANOVA, Tukey’s HSD, and regression models in Rstudio, to evaluate treatment efficacy and agronomic responses. Prepared comprehensive technical reports integrating statistical outputs, data visualizations, and agronomic interpretation aligned with regulatory requirements using SharePoint.

Analyzed sales and customer data to identify demand patterns, improving product availability and customer satisfaction using Excel (Power Query) and SQL. Supervised and optimized logistics for product delivery, including route planning supported by data insights to reduce costs and increase efficiency. Managed purchase orders and inventory using Excel, ensuring accurate stock levels and supply chain continuity.

Collected, cleaned, and managed large datasets of insect population dynamics using Excel (Power Query) and SQL for data processing. Performed statistical analyses in R studio and created visualizations (time series, geospatial maps) to identify ecological trends and patterns. Designed automated reports and dashboards with Power BI to support decision-making and improve data accessibility for researchers.

Conducted research on pest incidence in ornamental and vegetable crops, generating detailed reports for the company and the national phytosanitary system to identify patterns and risk factors associated with seed production. Developed pest risk analyses for origin and destination countries by integrating biological, environmental, and trade data, supporting evidence-based decision making in coordination with the research team and management. Implemented and monitored integrated pest management (IPM) strategies in greenhouse environments, collecting and analyzing data on plant health indicators to optimize production processes and ensure export seed quality.