Project Overview Analyzed a comprehensive athlete health dataset for sports organizations to minimize player downtime, control treatment costs, and enhance overall player availability through data-driven injury management strategies.

Problem Statement Sports organizations faced challenges in understanding injury patterns, optimizing treatment protocols, and controlling escalating healthcare costs. Without clear insights into injury frequency, severity, and recovery patterns, teams struggled to make informed decisions about player safety and resource allocation.

Goal Identify key injury trends, analyze treatment effectiveness, and provide actionable recommendations to reduce injury rates, optimize recovery strategies, and minimize costs while maintaining competitive performance.

Data Exploration: Started with comprehensive EDA to understand the dataset structure - 15K players across demographics, 15K total injuries, and €27.70M in treatment costs.

Segmentation Analysis: Broke down data by player demographics, injury types, locations, and severity levels to identify patterns.

Time-Series Analysis: Examined seasonal injury trends and recovery timelines to understand cyclical patterns.

Cost-Benefit Analysis: Evaluated treatment methods against recovery outcomes and associated costs.

Geographic & Team Analysis: Mapped injury distributions to identify regional or team-specific risk factors.

Data Quality: Addressed missing values in treatment outcomes by implementing statistical imputation methods.

Complex Relationships: Used correlation analysis to understand relationships between training intensity, player age, and injury susceptibility.

Cost Attribution: Developed methodology to accurately allocate treatment costs across different injury categories.

High-Risk Identification: Fractures represent the highest treatment cost (€3.64M) but have excellent recovery rates (80.3%).

Seasonal Patterns: Injury peaks during specific months suggest need for targeted prevention programs.

Treatment Optimization: Certain treatment methods show 79.88% recovery rates while maintaining cost efficiency.

Regional Disparities: Geographic analysis revealed opportunities for resource reallocation.

Business Impact This analysis enables sports organizations to implement proactive injury prevention strategies, optimize treatment protocols, and potentially reduce the €1.85K average cost per player through better resource allocation and targeted interventions.

Explore the complete analysis and interact with the live dashboard here: https://app.powerbi.com/view?r=eyJrIjoiZmU3MmE5ZDktZDQzYy00OTRlLTk5YzQtYWNlY2U3ZWZjOTE1IiwidCI6ImQyOTY0YmE2LTZmYmYtNDIwMy05MjYwLWY5MGJkYTQ2NDlmMSJ9&pageName=86519314c0ea5d01b4b1