Darla Valderrama

Co-developed a platform for managing training datasets for AI model fine-tuning, reducing preparation time by 31%. Achieved a 20% gain in model training efficiency through extensive work with OpenAI’s models and open-source frameworks.

Diagnosed customer issues through root cause analysis and implemented data validation procedures. Delivered multi-channel support, leveraging data to resolve financial transaction issues and increasing customer satisfaction by 23%.

Conducted data analysis using SQL to uncover demographic trends that shaped program strategies. Partnered with task forces to assess data for global diversity initiatives and developed technical documentation to communicate key findings.

Led a team project using Python to process data and extract results, employing advanced statistical techniques. Streamlined data preparation pipelines for predictive financial models, boosting model accuracy by 15%. Researched lobbying data and explored correlations with companies’ relative returns using data visualization techniques.

Bachelor of Science in Data Science, Minor in Computer Science.