Marcelo C.

Bilingual Data Analyst with a background in Psychology and a Master’s degree in Data Analytics and Business Intelligence, specializing in turning complex and unstructured data into clear, actionable insights that support business growth, operational efficiency, and better decision-making. I help businesses clean, structure, analyze, visualize, and automate their data. My experience includes building end-to-end data pipelines, developing interactive dashboards, designing KPI frameworks, automating repetitive workflows with AI, and creating predictive and machine learning models. I can help with data analysis and cleaning, transforming structured and unstructured data into reliable, analysis-ready datasets; dashboards and BI using Power BI, Tableau, and Looker Studio; Python and SQL for data processing, automation, ETL, and analytical workflows; data pipelines using SQL, BigQuery, Airtable, and cloud-based technologies; predictive analytics including churn prediction, payment-risk modeling, and customer segmentation; and AI automation, including AI-powered agents and RAG systems. In my recent role as a Senior Data Specialist, I built data pipelines connecting Airtable with BI platforms through BigQuery, developed predictive models using Random Forest, XGBoost, and Logistic Regression, implemented AI automation agents and RAG systems, and created automated KPI monitoring solutions. These initiatives helped reduce operational workload by 10%, increase customer retention by 7%, and accelerate employee onboarding and productivity by 20%. I also bring a background in Psychology, recruitment, and HR analytics, allowing me to understand not only the technical side of data but also the people, processes, and business decisions behind it. I have experience with workforce metrics, performance measurement, recruitment analytics, and data-driven talent strategies. My goal is simple: turn your data into something useful, understandable, and actionable.