Ricardo Rodríguez Salcedo

Data Scientist with 5+ years of experience driving business impact through advanced analytics, machine learning, and data-driven decision-making. Proven track record in fraud detection, financial analytics, and performance optimization, leveraging Python, SQL, and cloud technologies (AWS). Specialized in building end-to-end data solutions—from data pipelines to predictive models and dashboards—translating complex data into actionable insights that improve revenue, reduce risk, and optimize operations.

Senior Data Scientist | Fraud Analytics & Risk Optimization at Bradescard (2022-02 – Present)

• Designed and deployed machine learning and analytical models to detect anomalous transaction patterns, contributing to fraud risk reduction and revenue protection.
• Built and maintained scalable data pipelines and dashboards (Python, SQL, Power BI), enabling real-time monitoring of key business metrics and operational performance.
• Led data-driven initiatives to optimize transaction monitoring systems, improving detection efficiency and reducing false positives.
• Translated complex analytical insights into strategic recommendations for cross-functional stakeholders, supporting data-driven decision-making.
• Developed performance tracking frameworks to measure KPIs and identify optimization opportunities across business operations.

IT Support Analyst | Systems & Data Operations at NTT Data (2020-01 – 2021-12)

• Resolved technical incidents across hardware, software, and network systems, ensuring operational continuity.
• Improved system performance and reliability through proactive monitoring and troubleshooting.
• Collaborated with cross-functional teams to enhance service processes and user experience.

Bachelor Degree in Financial Engineering – ITESO (Instituto Tecnológico y de Estudios Superiores de Occidente) (2018 – 2024)

Internship in Quantitative Analyst | Portfolio Optimization & Financial Data Science – PILOU (2023 – 2024)