Matthew Tomás

Founded and led Figuwo, an innovative data venture focused on transforming complex civic, demographic, and health data into accessible, visually compelling insights for public engagement.

• Designed and deployed end-to-end data pipelines using Python and SQL to process and manage extensive datasets from 300+ U.S. cities, ensuring data integrity and scalability.
• Developed and automated AI-powered data scraping and error-checking processes, significantly enhancing data accuracy and consistency across large-scale budget, health, and transportation datasets.
• Created interactive data visualizations, print-ready city guides, and customized dashboards using QGIS, Adobe InDesign, DeepNote, and ObservableHQ, translating intricate data into engaging visual stories.
• Managed all aspects of product development, from market needs identification and UX design to client engagement and marketing strategy, delivering tailored data solutions that bridged data analysis and public engagement.
• Orchestrated multiple concurrent data projects, balancing cross-functional responsibilities and implementing Agile methodologies to ensure timely delivery of high-impact data products.

Spearheaded data analysis and reporting initiatives for academic and administrative departments, delivering actionable insights that optimized strategic planning and resource allocation.

• Conducted in-depth analysis of program history, enrollment trends, and student feedback using Python and SQL, identifying 5 strategic growth opportunities that informed key departmental decisions.
• Developed and implemented a sentiment analysis tool leveraging Python and NLTK to provide actionable insights from course evaluations, enhancing student feedback utilization.
• Automated data collection, cleaning, and reporting workflows using Python and SQL, significantly improving operational efficiency and reducing manual processing time for academic departments.
• Designed and delivered comprehensive statistical reports and dynamic dashboards using Tableau and Python, translating complex data findings into accessible formats for diverse stakeholders and guiding program evaluations.
• Managed project timelines and deliverables independently, consistently meeting stakeholder requirements and contributing to data-driven policy analysis and strategic hiring initiatives.

Drove data-driven improvements in student outcomes and operational efficiency through advanced analytics, predictive modeling, and robust data infrastructure development.

• Developed and deployed predictive models using Python, SQL, and NLP to identify at-risk students, contributing to a 10% improvement in student retention.
• Automated reporting workflows and data processing using Python and APIs, resulting in 30 hours saved weekly across teams and enhancing data accuracy.
• Designed, implemented, and optimized scalable ETL pipelines using dbt, Airflow, and Snowflake, improving data accessibility and query performance for cross-departmental analytics.
• Created and maintained dynamic KPI dashboards and reports in Tableau and Looker, translating complex data findings into actionable insights for diverse stakeholders and informing strategic decisions.
• Led root cause analysis for reporting errors and implemented automated fixes, ensuring data reliability and supporting continuous improvement in teaching methods.

Applied advanced quantitative methods and strategic analysis in high-stakes, dynamic environments, focusing on risk management, decision optimization, and performance maximization.

• Utilized advanced probability, statistics, and game theory to analyze complex variables and develop data-driven strategies, adapting in real-time to maximize profitability and minimize risk.
• Managed significant financial risk and variance through disciplined bankroll management strategies, making high-stakes decisions under pressure with incomplete information.
• Conducted post-game analysis to identify patterns and optimize performance, developing long-term strategies for consistent profitability in a competitive, evolving industry.
• Leveraged pattern recognition, critical thinking, and rapid decision-making skills to solve complex problems and adapt strategies in high-pressure, uncertain environments.
• Mentored aspiring professionals in risk management, strategy development, and performance analysis, fostering collective improvement and knowledge exchange.