Gabriel Dolan
About Me
I want to drive business value directly. I treat pipeline like a data problem, blending sharp prospecting instincts with an analytical mindset to research accounts, personalize outreach at scale, and turn cold lists into qualified conversations that move revenue forward. My edge is knowing exactly who to reach, when, and with the message that lands.
With a foundation in Data Science & Analytics from Florida Atlantic University and hands-on experience at industry leaders like Vanguard, Cisco, and Chewy, I bring a rare mix of hustle and rigor to the top of the funnel, using data to prioritize the right accounts and consistently fill pipeline for the teams I support.
Sales Philosophy
Great sales development isn't about volume for its own sake. It's about the right message reaching the right buyer at the right time. My approach to filling pipeline rests on three principles:
- Research Before Reach-Out: Every touch starts with homework. I use data to understand an account's priorities and triggers so my outreach earns a reply instead of getting deleted.
- Persistent, Personalized Cadences: I run disciplined multi-channel sequences across call, email, and social that stay human at scale, following up with value rather than noise until I get a clear yes or no.
- Measure, Test, Improve: I treat every subject line, opener, and call script as an experiment. Tracking what converts lets me double down on what works and consistently beat quota.
Experience
Vanguard
Sales Data Analyst
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
Business Operations Analyst
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
Business Analyst
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.