I applied regression models and time-series forecasting to more than 100,000 records in a predictive revenue and retention project, improving quarterly accuracy by 18%. I also translated multivariate data into churn models and executive visualizations.
On an automated data integrity and pipeline validation project, I engineered SQL scripts to clean unstructured data and reduce pipeline error rates by 35%. I implemented schema validation and access controls across cloud database environments, including Supabase.
At National Fire Service, I perform risk assessment and system monitoring, maintain operational logs, and report incidents with attention to data integrity. Previously, at Promasidor, I monitored production-line performance, conducted quality checks, and documented operational metrics.
