# ================================
# 🔹 CORE INFO
# ================================
class DhyeySavaliya:
    def __init__(self):
        self.name = "Dhyey Savaliya"                  
        self.education = "B.Tech CSE @ MIT-WPU, Pune" 
        self.metrics = {"CGPA": 7.6}                  
        self.status = "Intern at SAC-ISRO" 

    # ================================
    # 🧠 TECH STACK
    # ================================
    def tech_stack(self):
        return {
            "languages": ["Python", "C++"],                     
            "ml_stack": ["NumPy", "Pandas", "Matplotlib", "Seaborn", "Scikit-learn"],  
            "database": ["MySQL"],                              
            "tools": ["Git", "GitHub", "Jupyter", "Tableau"]    
        }

    # ================================
    # 📊 RESEARCH & PROJECTS
    # ================================
    def research_and_projects(self):
        return {
            "Atmospheric CO₂ Forecasting": {
                "winner_model": "LSTM",                                
                "metrics": {"RMSE": 0.8750, "MAE": 0.6739}      
            },

            "Satellite Signal Classification":                  
                "87.9% Accuracy (Decision Tree)",

            "Diabetes Risk Prediction":                         
                "77% Accuracy (Logistic Regression)"
        }

    # ================================
    # 🏆 ACHIEVEMENTS
    # ================================
    def achievements(self):
        return "🥉 3rd Place — HackMITWPU’24 Ideathon (Healthcare ML)"