Jorge Luis Tapia Peñaloza

Technologies: Python, AWS, SQL, Spark, EMR

• Development of end-to-end machine learning solutions for financial modeling.
• Implementation of predictive models to estimate balances and payments.
• Integration of large-scale data pipelines and optimization flows.

Technologies: Python, AWS, SQL

• Developed a recommendation system and topic modeling for news articles for a national TV network.
• Built scrapers to monitor competitor news in real-time.
• Created a predictive model for credit default.

Technologies: Python, GCP, AWS

• Use of real-time data and big data to build predictive models.
• Created machine learning models to address credit risk, fraud detection, and sales optimization.

Technologies: Python, R, SQL, AWS, GCP, Azure

• Participated in various projects such as segmentation, credit scoring, computer vision, and demand forecasting.
• Contributed to strategic business solutions using AI.

Technologies: SQL, SAS

• Managed large volumes of financial data for decision-making.
• Built predictive models for credit and market risk.
• Validated FRC and BDR engine information.