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F1 telemetry intelligence system that reconstructs laps meter-by-meter using FastF1 data, compares drivers with millisecond delta alignment, and generates race-engine level insights with interactive visualizations.
Information Visualisation mini-project: Python-preprocessed Formula 1 dataset (1950–2017) and a Vega-Lite dashboard designed to surface non-obvious patterns beyond standard standings.
End-to-end exploratory data analysis of Formula One data (1950–2022) using Python, focusing on driver performance, constructor dominance, and era-wise championship trends.