Armando Guzman
Senior Data Analyst @The Port Authority of New York & New Jersey
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WORK HISTORY
Senior Data Analyst @The Port Authority of New York & New Jersey
New York, NY, US
Lead analyst supporting enterprise data initiatives across capital planning, workforce analytics, and operational reporting for a multi-billion-dollar infrastructure program. • Built predictive models in Python to forecast Port Authority Bus Terminal growth through 2030, influencing design and funding decisions tied to a $10B capital project. • Designed automated data pipelines using Azure and Power Automate, reducing traffic data processing time by 75% and integrating Power BI dashboards for real-time visibility. • Developed centralized workforce analytics tools using Python and AWS, contributing to $4.5M in annual overtime cost savings through more informed staffing decisions. • Enhanced operational dashboards in MySQL and Tableau, improving data accuracy and contributing to a 4.7% reduction in on-duty injuries.
EDUCATION
Rensselaer Polytechnic Institute
Bachelor of Science - BS, Business Analytics
Rensselaer Polytechnic Institute
Master's degree, Logistics, Materials, and Supply Chain Management
ABOUT ARMANDO GUZMAN
Data professional with experience delivering insights through analytics, automation, and scalable infrastructure solutions. Skilled in SQL, Python, cloud platforms, and business intelligence tools, with a track record of improving operational efficiency, streamlining workflows, and supporting executive decision-making across public and private sectors. Recent work includes leading data initiatives for a multi-billion-dollar infrastructure program at the Port Authority of New York & New Jersey, optimizing workforce and operational reporting through forecasting models and Power BI dashboards. Prior experience at Regeneron Pharmaceuticals included building cloud-based regulatory systems, automating lab analytics, and deploying AI tools to enhance process efficiency. Also serve as a capstone mentor at Columbia University and the University of New Haven, guiding students in Python, R, Power BI, and time series forecasting to support real-world business cases. Open to roles that combine technical depth with strategic collaboration, including Senior Data Analyst, Data Engineer, and Business Intelligence Analyst positions within hybrid or remote environments based in New York City. Always open to connecting with professionals, teams, or organizations exploring data-driven transformation. Let’s connect.
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