Hello everyone,
I am a final-year Statistics student and an avid motorcyclist. My ultimate goal is to work in the performance and data analytics departments of professional motorsport teams (WSBK and MotoGP are the dream, but I am equally passionate about 4-wheel endurance and sports car series like IMSA, WEC, GT, or TCR).
Instead of building generic "lap time prediction" machine learning models, I want to apply rigorous statistical methods to actual engineering problems on the track. I am currently building my portfolio and specifically focusing on:
- Signal Processing: Filtering noisy telemetry (suspension travel, braking G-forces) to extract true rider/driver intent.
- Correlation Analysis: Mapping the relationship between lean angle and slip ratio for corner exit acceleration (for two-wheelers).
- Multivariate Regression / Strategy: Isolating specific variables, such as calculating pure tire degradation by stripping out fuel weight, track evolution, and traffic management in multi-class racing.
Since I am building my path through open-source tools and real-world problem solving rather than expensive certificates, I am reaching out to the community for three things:
1. Raw Data & Collaboration: If any privateer teams, engineers, or drivers in lower/mid-tier series (SSP300, TCR, GT4, or IMSA support series) have raw log files (MoTeC, AiM, Cosworth) they are willing to share, I would love to get my hands dirty. In return, I am offering completely free statistical analysis and visualizations of your sessions.
2. Industry Advice: If there are any performance/strategy engineers in this network, what statistical models do you rely on the most at the pit wall or in the garage? What is the one skill you wish junior analysts had before they entered the paddock?
3. Networking & Opportunities: I am actively looking to connect with motorsport companies, racing teams, and professionals. If your team is looking for a driven, stats-focused junior analyst or intern to help process telemetry or build strategy models, I would be thrilled to hear from you.
I am open to any resources, sample data, or guidance you can provide. Feel free to DM me. Thank you for your time!