Hi, I'm Luis Figueroa, a Statistical Engineer and Data Scientist passionate about Machine Learning, Generative AI and Finance.

I am a Statistical Engineer at Banco BICE and a Master's graduate in Data Science from the University of Chile. My expertise lies in building high-performance data processing frameworks, automating complex workflows, and developing NLP models to solve real-world business problems. I am passionate about leveraging Machine Learning to drive efficiency and innovation, with a strong interest in Finance and Quantitative Analysis.

• Languages & Frameworks: Python (Pandas, Polars, Scikit-learn, PyTorch), SQL (SQL Server, MySQL, Oracle, NoSQL), R, LaTeX.
• Tools & Cloud: GCP, Git, Power BI, Power Apps, Power Automate.
• Languages: Spanish (Native), English (C1).

Banco BICE | April 2025 - Present

Predictive modeling and portfolio analysis for credit risk management in retail banking.

• Developed income estimation and behavior scoring processes on high-volume data architectures.
• Implemented and maintained data pipelines in Python and SQL for report generation and operational analysis.
• Developed analytical solutions based on AI and Machine Learning techniques applied to credit risk.

Banchile Inversiones | September 2023 - March 2025

Analysis, modeling, and process automation in the Risk Management Department.

• Implemented solutions in Python and SQL to optimize control processes and risk indicator tracking.
• Developed interactive Power BI dashboards oriented towards operational management and decision making.
• Designed a document classifier using NLP techniques.
• Created internal applications with Power Apps and Power Automate for risk management and operational flows.

Banchile Inversiones | December 2022 - March 2023

Support in data analysis and workflow automation in the Risk Management Department.

• Implemented scripts in Python and SQL for document processing and classification.
• Developed data analysis tools for the preparation of control and monitoring reports.

• M.Sc. in Data Science, University of Chile (2025)
  • Highest Distinction
• B.Sc. in Industrial Engineering, University of Chile (2025)
  • Highest Distinction, Top 10% Outstanding Student

(Master's Thesis)

• Developed NLP models to classify over 10,000 citizen submissions and extract named entities.
• Achieved 75% F1 in classification and 83.5% in NER, improving institutional response times and resource efficiency.

(Python, Machine Learning)

• Developed classification and regression models to predict user deposit behavior using real transactional data.
• Collaborated with Fintual as part of the Master of Data Science program.