Gabriel Dolan
About Me
As a Data Creative and aspiring leader in the realm of data driven decision making, I blend analytical prowess with strategic thinking to drive product innovation and business growth. My unique approach combines rigorous data analysis with creative problem solving, allowing me to uncover insights that others might miss.
With a strong foundation in Data Science & Analytics from Florida Atlantic University and hands on experience at industry giants like Cisco and Chewy, I'm poised to revolutionize how organizations leverage data for strategic advantage and product excellence.
Leadership Philosophy
As a data creative and emerging leader in the field of analytics and product strategy, my leadership philosophy is built on three core principles:
- Data-Driven Innovation: I believe in harnessing the power of data to drive innovation and inform strategic decisions. By combining analytical rigor with creative thinking, we can uncover unique insights that lead to breakthrough solutions.
- Collaborative Empowerment: I strive to create an environment where team members feel empowered to contribute their ideas and expertise. By fostering open communication and cross-functional collaboration, we can tackle complex challenges and drive meaningful change.
- Continuous Learning and Adaptation: In the rapidly evolving world of data and technology, I am committed to continuous learning and adaptation. I encourage my teams to embrace new technologies, methodologies, and perspectives to stay at the forefront of our field.
Experience
Vanguard
Data Intern
May 2026 – July 2026
46%
reporting complexity reduced
Built a Python data pipeline ingesting and normalizing 11,000+ unstructured records into analytics-ready outputs across 15 themes, then queried and validated the results against source tables in SQL to resolve inconsistencies across reporting systems, and redesigned the underlying data architecture across 35+ reporting assets to cut complexity by 46% and establish a scalable governance model.
Chewy
Data Analyst Intern
June 2025 – August 2025
$560k
annual risk prevented
Prevented an estimated $560k/year in over-capacity risk by delivering an automated Tableau dashboard used by operations and planning leaders to track hourly dock door utilization across 12+ Fulfillment Centers utilizing 300+ doors, helping proactively flag over-capacity days and reduce network risk.
Cisco
Data Science Analyst Intern
May 2024 – August 2024
88%
model accuracy
Led the development of a machine learning model to predict on-time delivery, achieving 88% accuracy. Spearheaded the creation of innovative metrics for demand fulfillment, presenting strategic insights to key stakeholders.
Projects & Innovations
Breathelytics
Developed a comprehensive air quality monitoring dashboard using real-time data from EPA and government APIs, implementing machine learning algorithms achieving 95% prediction accuracy for air quality forecasting, with interactive visualizations and anomaly detection capabilities. Built responsive web interface using Python, Scikit-learn, Dash, Bootstrap, and Plotly.js, deployed on GitHub Pages with focus on sustainability and environmental impact analysis, processing 1,000+ real-time environmental records from 11 monitoring parameters.
Kaseya AI Strategy Hackathon
Led the development of an AI-powered essay grading application, showcasing the intersection of data science and product strategy. Demonstrated leadership by managing the project and presenting the strategic vision to stakeholders.