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Portrait of Clément Verdier

Clément Verdier

Data engineer · Elite sport performance

Paris, France — full driving licence clement.verdier@laposte.net +33 7 82 19 99 98 LinkedIn GitHub

Engineer in computer science and statistics (Polytech Lille), with a second degree in the optimisation of athletic performance (MSc, sport science). Research data engineer at INSEP, working at the boundary between information-systems architecture, federation-level data governance and elite sport science. Data pipeline development (Python, SQL, APIs), reference and data-dictionary formalisation, physiological and mechanical modelling of the effort, and decision-oriented reporting to coaching staff and management.

Professional experience

Research data engineer & performance analyst

INSEP / French Basketball Federation — Paris

  • Mapping athlete data flows, building data dictionaries and defining governance rules to protect the integrity of the federation's data estate.
  • Developing automated ETL pipelines and API connectors in Python and SQL to integrate heterogeneous sensor and tracking feeds.
  • Implementing quality-control mechanisms and procedures that make field-collected data trustworthy.
  • Training-load modelling, mechanical profiling (power, force–velocity) and decision-support tooling for coaching staff.
  • Building, maintaining and documenting advanced interactive Power BI reports; onboarding and training end users.

Independent data & sport science consultant

Self-employed — France

  • Supporting professional sport organisations: data architecture design, API integration and advanced statistical modelling.
  • Data analysis and business intelligence engagements: bespoke dashboard design, optimisation of existing data flows.

Data analyst — final-year internship

INSEP — Paris

  • Cleaning, validating and modelling quantitative high-performance datasets.
  • Industrialising analysis workflows through Python and SQL automation.
  • Interactive dashboards and technical documentation of athlete-monitoring indicators.

Education

MSc — Training and optimisation of athletic performance

Université Jean Monnet, Sport Science — Saint-Étienne

  • Exercise physiology, biomechanics, training-load planning, applied research in elite sport.

Engineering degree — computer science, statistics and AI

Polytech Lille, ISIA programme — Lille

  • Information-systems architecture, data governance and data modelling, API design.
  • Advanced programming (Python, R), databases (SQL), applied statistics, business intelligence.

Exchange year — computer science and statistics

Universidad Nacional del Sur — Bahía Blanca, Argentina

  • A full academic year taught in Spanish.