valentina latorre

Conducted complex back-office investigations for disputes and high-dollar claims, applying Regulation E and Non-Reg E guidelines. Maintained 98%+ QA performance and collaborated with Fraud Operations, Compliance, and Risk Management.

Developed operational tracking tools in Excel and managed the VISA GCAS News database. Collaborated with stakeholders to streamline procedures, reducing average team hold time by 30%.

Developed a machine learning model to classify Amazon product reviews using Naive Bayes and Random Forest. Delivered an automated solution for data-driven product and marketing decisions.

Conducted quantitative data analysis for the Colombian education sector, applying regression and correlation analysis. Developed visualizations including choropleth maps to communicate trends to authorities.

Maintained operational databases and documentation, analyzed technology incident data, and supported cross-functional collaboration. Designed process documentation that increased operational efficiency by 30%.

Bachelor of Mechanical Engineering degree from Universidad Nacional de Colombia, expected to complete in 2026.

Coursework in Big Data, covering SQL, MongoDB, MapReduce, and distributed processing tools like Dask and Spark, applied to a sentiment analysis project.

Modular Diploma Program in Data Science and Machine Learning from Universidad Nacional de Colombia, completed in 2024.

B2-C1 Upper-Intermediate English course from the British Council, completed in 2017.

High school diploma from Nuestra Señora del Pilar - Sur, completed in 2016.

Coursework in Introduction to Machine Learning, including building a sentiment analysis model with Amazon reviews using XGBoost.

Coursework in Analysis and Data Visualization, focusing on data cleaning, statistical analysis, and interactive visualizations.