

Utilising normative data effectively across different technologies with Luke Fitzpatrick
15 snips Sep 19, 2024
Luke Fitzpatrick, the Head of Data Science at VALD, dives into the world of data science in sports technology. He highlights the critical role of data quality and security in enhancing athletic performance. Fascinating insights on strength development in adolescents are shared, alongside a comparison of NFL players' strengths to the general population. Luke discusses the innovative approach to retrieving and visualizing normative data, ensuring athletes can effectively benchmark their performance against peers. Collaboration with experts ensures the credibility of the data provided to clients.
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Worst Nordic at VALD
- Luke Fitzpatrick is known as the worst Nordic at VALD and struggled to register a Nordic reading for his right leg.
- His physio had to lower the rep detection threshold just to capture his data.
Role of Data Scientist at VALD
- A data scientist's role at VALD involves ensuring "information for the right decision at the right time".
- Their tasks spread across data foundations, client projects, internal enablement, and research and development.
Ensure Data Quality Through Cleansing
- VALD rigorously cleanses data, filtering out faulty tests and ensuring only trustworthy data contributes to normative data.
- Users should follow clear test protocols and delete incorrect repetitions to improve data quality.