Tsintsun Aime Rangel

At Minsait, supporting BBVA Mexico, I build predictive and customer-centric models for digital products, personalized savings recommendations through MetaSegura, and dynamic pricing strategies.

I've consolidated five analytical engines into two production Python and SQL pipelines, reducing execution latency by more than 80%. I also design behavioral segmentation, propensity pipelines, and Power BI KPI dashboards that support engagement, retention, fraud detection, and risk prevention.

Previously at Grupo Salinas, I led predictive analytics and statistical modeling initiatives, automated enterprise reporting pipelines, and improved reporting efficiency by 30%. My anomaly detection and image-classification models helped identify ATM failures and resolved 60% of black and blue screen errors without field-engineer dispatches.

At IBM, I developed Python and SQL analytics automation that reduced manual reporting by 90%, alongside time-series forecasting for service demand, equipment wear, engineering scheduling, and inventory planning.