Brendan Hunt

Spearheaded development of machine learning model that significantly improved sales forecast accuracy.

• Designed and implemented Python script to automate chipset management, reducing workload by 60%.
• Optimized Excel management workbook, resulting in 75% reduction in aging cancellation and push out requests.
• Actively contributed as member of Business Data Intelligence team, responsible for market and technology trend analysis, data consolidation, executive reporting, predictive analytics, KPI creation, and AI implementation.
• Proficiently utilized advanced Excel functions, data visualization tools, and querying techniques to analyze complex data sets and communicate actionable business insights.

• Led implementation of real-time asset tracking (RFID) project across all Bay Area sites, resulting in reduction of lost assets by over 90%
• Successfully executed new inventory management system using Tableau for geocoding and reporting, enhancing efficiency and visibility.
• Analyzed and improved inventory management system to meet government audit requirements, collaborating with cross-functional teams to optimize property acquisition, records management, and loss reporting.

• Developed clustering model to predict Jets home game quality for efficient ticket pricing.
• Leveraged R Studio to create game tier forecasts.
• Worked closely with NY Jets' data analytics team to optimize ticket revenue through dynamic pricing based on predicted game tiers.

• Analyzed third-party data and employed AWS products (EC2, Athena, S3) to identify new growth opportunities and process company data efficiently.
• Developed prioritization model using R Studio that significantly improved lead conversion rates by 6x, optimizing marketing efforts.
• Employed advanced data processing techniques to efficiently mine, clean, and analyze company data, contributing to enhanced marketing strategies and improved pipeline generation.