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Eliherrera33/README.md
Name Title



Β Β  Β Β 



πŸ† F1 DATA ANALYSIS SUITE

Features

πŸ”¬ What I Analyze

class F1DataAnalyst:
    def __init__(self):
        self.tools = ["FastF1", "Pandas", "NumPy", "Matplotlib"]
        self.tracks = ["Monaco", "Spa", "Monza"]
        
    def analyze(self):
        return {
            "telemetry": "Speed, throttle, brake, gear",
            "g_forces": "Up to 5.8G lateral, 5.5G braking",
            "aero": "Downforce exceeds car weight at 200km/h!",
            "strategy": "Tire degradation & pit optimization"
        }

πŸ“ˆ Key Metrics

Analysis Result
πŸ”΄ Max Braking G 5.5G
🟑 Max Lateral G 5.8G
πŸ’¨ Peak Downforce 9,600 N
🏎️ Top Speed 350+ km/h
⚑ Thermal Efficiency 50%+

πŸ–ΌοΈ Project Showcase

πŸŒͺ️ CFD Aerodynamic Simulation

Streamline flow, pressure fields, and force vectors - Real-time airflow visualization


🏎️ Race Simulation with Full Telemetry

Monaco GP - Live speed, G-force gauge, throttle/brake, tire compound, DRS


πŸ’ͺ G-Force Analysis

Cross-track comparison: Monaco vs Spa vs Monza


πŸ“Š CFD Pressure & Velocity Fields

Aerodynamic analysis with downforce/drag calculations


🏁 Multi-Track Race Visualization

Spa GP - Real telemetry driving car positions


πŸ› οΈ Tech Stack



Python FastF1 Pandas NumPy SciPy Matplotlib


πŸ“Š GitHub Stats



πŸ“« Let's Connect



🎯 Open to Opportunities

Opportunities

"In Formula 1, milliseconds matter. Data reveals where they're found." 🏁


Snake animation

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