Professional Golf Caddie Intelligence System

📌 The Problem

Professional golf decisions are made under extreme time pressure with incomplete information. A caddie's job is to synthesize course conditions, historical data, shot patterns, wind, and player tendencies into a single confident recommendation — often in under 60 seconds.

Most caddies operate on intuition. I decided to give that intuition a data backbone.

🏗️ What I Built

• Tracked and logged shot dispersion data across practice rounds and tournament play, building a personal database of hole-by-hole performance characteristics
• Developed wind-adjustment models based on historical scoring data and course mapping, calibrated to the player's specific shot shape and tendencies
• Built Power BI dashboards for pre-round preparation: reviewing which holes historically produced bogeys, where the course "gives shots back," and optimal risk-reward targets
• Created Python scripts to parse and visualize strokes-gained data, identifying where the player was leaking shots compared to field averages

📊 What Makes This Unique

🛠️ Technologies Used

💡 Why This Matters for Data Analysis

• The highest-value data analysis isn't done in a boardroom — it's done under pressure, in real time, with someone depending on your answer being correct
• Domain expertise is a force multiplier: I understand golf deeply enough to know which numbers matter and which are noise
• This experience sharpened my ability to communicate complex analysis in a single, confident sentence — a skill that translates directly to executive stakeholder work