Samuel Santiago Suarez Paez

I’m a Data Analyst with 3+ years turning high-volume operational and commercial data into decisions that stick. My work is grounded in statistics and delivered through SQL, Python, ETL pipeline orchestration, and BI dashboards.

At META - TELEPERFORMANCE, I developed and deployed machine learning models to identify behavioral patterns and predict key operational performance metrics. I built scalable Python ETL pipelines ingesting, cleaning, transforming, and validating datasets exceeding 20 million records, reducing preprocessing time by more than 50%.

I design and maintain interactive Power BI dashboards that integrate operational KPIs and predictive analytics for real-time business insights. I also optimized SQL Server databases with backend engineers and automated reporting, reducing manual preparation time by more than 20 minutes per reporting cycle.

Previously, at JAIME TORRES C Y CIA S.A., I established the team’s first automated data ecosystem by replacing Excel-based workflows with scalable Python ETL pipelines, PostgreSQL databases, and CSV ingestion. I delivered classification/regression models for commercial analysis and sales forecasting, supported KPI monitoring through Looker Studio, and improved commercial team performance by 5% through data-driven optimization.