Enzo Rodriguez

Developed and validated advanced math reasoning questions targeting undergraduate and graduate levels. Designed scoring rubrics and evaluation methods for AI model outputs. Contributed to the fine-tuning of generative AI models with mathematically focused datasets and supported AI alignment research.

Authored clear and accurate math questions for educational AI training purposes, ensuring annotation consistency and data integrity. Collaborated on training pipelines to improve AI reasoning capabilities. Delivered high-quality instructional math content with a focus on precision.

Built and maintained scalable data pipelines using Python, PySpark, and SQL, developing ML models for anomaly detection and password risk scoring that reduced false positives by 20%. Automated data ingestion and transformation processes, and designed NLP pipelines for phishing detection and incident classification using NLTK and spaCy. Developed Power BI and Tableau dashboards for real-time cybers

Conducted exploratory data analysis, feature engineering, and predictive modeling to derive actionable insights. Designed advanced Power BI dashboards with drill-through functionality to visualize key metrics. Optimized AWS infrastructure for analytics, significantly improving cost-efficiency and response time.

Completed a Master of Science degree, focusing on advanced data science methodologies, machine learning, and statistical modeling. Gained expertise in developing and deploying data-driven solutions.

Pursued a Bachelor of Science degree, gaining a strong foundation in economic theory, quantitative analysis, and statistical methods. Developed analytical skills applicable to various industries.