Ashmeet Anand is a high-performance sports scientist and data analyst currently working as a 1st Team Data Analyst at Leeds United (Jan 2026–present, Leeds, UK). With a strong blend of applied football experience and research-led analytics, his work focuses on player monitoring, performance modelling, and building practical data systems that support day-to-day decision-making across performance and medical teams.
Previously, Ashmeet worked as a Sports Scientist at Seattle Sounders FC (Mar 2020–Dec 2023), where he integrated multi-source athlete data (e.g., GPS load + Oura recovery metrics), built interactive dashboards (Tableau/SQL), and supported load management frameworks from First Team through Academy. He also developed workflow tools (e.g., Streamlit apps for periodisation and wellness collection) and contributed to predictive modelling for injury risk and performance.
He also held roles in applied sports technology and product research, including Lab Scientist at Therabody (Mar 2024–Oct 2025), delivering pilot studies, statistical validation (t-tests, ANOVA, regression), automated reporting, and predictive modelling to evaluate product performance. Earlier roles include Sports Scientist at STATSports and Colorado Rapids, supporting GPS/HR monitoring, athlete reporting, and dashboard development.
Education
- MSc Exercise Science & Nutrition, University of Tampa (2018–2019)
- BSc Kinesiology & Exercise Science, San Diego State University (2015–2017)
Content / Expertise Areas
Player monitoring & load management, wearable tech integration, performance dashboards (Tableau/SQL), data engineering and harmonisation, predictive modelling and machine learning in elite sport.