Roles in a Data Science Project
In this video, Fractal Chief Operating Officer and Head of AI, Ajoy reveals how data science powers performance in Formula 1, from optimizing lap times to predicting tire degradation. With 300 sensors capturing 1.5 terabytes of data per race weekend, data scientists, engineers, and analysts work together to drive real-time decision-making and strategic advantage.
Ajoy also explains how data professionals use machine learning models to turn raw data into actionable insights, showcasing the importance of collaboration and critical thinking in high-stakes environments like F1.
Data scientists looking to enhance their problem-solving skills should check out Ajoy’s 'Structured Approach to Problem Solving' course on Coursera, rated 4.8 stars: https://www.coursera.org/learn/struct...
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