Caleb Samaniego Granados is a Statistics student at the Universidad Nacional Mayor de San Marcos and an intern in Retail Collections Intelligence at Scotiabank. He is passionate about data-driven decision-making, with skills in Python, R, SQL, and Power BI, complemented by a certification in Machine Learning with Python.
Outside of his formal studies and work, Caleb actively applies his skills to personal projects. He demonstrates a keen interest in financial markets by analyzing stock performance and risk, showcasing a proactive approach to learning and applying complex data science concepts in practical, real-world scenarios.
He has developed a personal project analyzing the financial risk of Apple (AAPL) stock using advanced statistical methods like VaR and Monte Carlo simulations in Python.
Caleb Samaniego Granados
Inteligencia en cobranzas retail at Scotiabank
Peru
Overview
Topics They Care About
Financial Risk Modeling
Published a personal project on GitHub analyzing Apple's stock risk using VaR and Monte Carlo simulations, showing a deep interest in quantitative finance.
Data Visualization
Holds a certification in creating dashboards with Power BI and actively uses data visualization as part of his analytical projects.
Machine Learning
Certified in Machine Learning with Python, indicating a focus on applying predictive modeling and advanced analytical techniques to solve problems.
Media Appearances
Caleb has no verified media appearances
Work History
1-2025
Inteligencia en cobranzas retail at Scotiabank
Education
Estadística from Universidad Nacional Mayor de San Marcos
More Information
Social Presence :
Prographics :
Exp : 1
Location : Peru
Job Level : N/A
Designation : Inteligencia en cobranzas retail at Scotiabank
