Patrick Mar

About Patrick Mar

Patrick Mar is an experienced business analytics professional, with expertise in supervised and unsupervised machine learning, business intelligence & data visualization, business and strategic analysis, and program leadership. In his current role, he leads customer segmentation and prediction solutions for a Pricing & Commercial Offerings organization at Boeing that drives over $8B in revenue annually. Previously, he built domain experience via managing a $200M+ P&L in the aerospace spare parts business, where he was responsible for growing the landing gears, wheels & brakes product portfolio through strategic initiatives focused on customer targeting, pricing, partner/channel alignment, supplier engagement and operational process improvements. Patrick started his Boeing career as a Business Intelligence Analyst, developing Tableau visualization and SQL-based tools to support spare parts demand forecasting objectives. Prior to joining Boeing, Patrick spent 5+ years as a management consultant in Deloitte’s Strategy and Operations and Technology practices, where he led engagement teams at industry-leading clients across aerospace, technology and energy sectors. Patrick holds an MBA from the U.C. Berkeley Haas School of Business and a B.S. in Computer Engineering from the University of Washington.

Experience

1. Senior Data Scientist

   Boeing

   Oct 2019 — Present · Renton, WA, US

   Customer Segmentation: Developed segmentations of BGS customer base using purchasing behavior and RFM (Recency, Frequency, Monetary) methodologies to inform sales pursuit and broader discounting decisions; projects used K-Means clustering and various Python visualization packages (e.g. Seaborn, Matplotlib, Plotly)• Customer Account Mapping: Mapped customer accounts between two Boeing subsidiaries containing 50K+ accounts collectively, leveraging automation scripts and string distance methods• Predictive Analysis: Conducted exploratory work on predicting customers’ price sensitivity applying various supervised machine learning techniques • Inventory Reduction Analysis: Led customer / parts overlap analysis between Boeing subsidiaries to facilitate consolidation of inventory

Education

• University of Washington

  Bachelor of Science (B.S.), Computer Engineering

  2002 — 2006

• University of California, Berkeley, Haas School of Business

  Master of Business Administration (M.B.A.), Business Administration and Management, General

  2010 — 2012

Skills

• Strategy
• Mergers
• Competitive Analysis
• User Experience
• Financial Modeling
• Quantitative Analytics
• Financial Analysis
• Due Diligence
• Business Strategy
• Project Management
• Management Consulting