Kaggle competitions have launched data science careers and pushed the field forward, but they also teach habits that don't translate to production. Lucas and Luna break down the gap between leaderboard-chasing and actual data science work—using the iconic 'Porto Seguro's Safe Driver Prediction' competition as a case study. They explore how public leaderboards encourage overfitting, why feature engineering on Kaggle doesn't match enterprise constraints, and what companies like Uber and Airbnb have learned from hiring Kaggle grandmasters. If you've ever wondered whether Kaggle skills prepare you for the real world—or if they can actually hurt your team's models—this episode will change how you think about competition data science.

#Kaggle #DataScience #MachineLearning #Competitions #Overfitting #FeatureEngineering #PortoSeguro #ProductionModels #Leaderboard #Grandmasters #Uber #Airbnb #DataScienceSkills #RealWorldDataScience #Technology #FexingoBusiness #BusinessPodcast #DataDriven

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