class PythonDeveloper:
    def __init__(self):
        self.name = "Mithil Dabhi"
        self.role = "Aspiring Python Developer | Final Year BE (CE) Student"
        self.location = "Surat, Gujarat, India"
        self.education = "Bachelor of Engineering in Computer Engineering"
        self.university = "Kadi Sarva Vishwavidyalaya University"
        self.cpi = "7.45/10"
        self.currently_learning = ["Advanced Python", "SQL Optimization", "AI/ML Tools"]
        self.interests = ["Web Development", "Data Analysis", "Automation", "AI Apps"]
        self.hobbies = ["Traveling", "Photography"]
        
    def say_hi(self):
        print("Thanks for dropping by! Let's build something amazing together.")
    
    def about_me(self):
        return """Passionate Python developer with a strong foundation in data analysis,
        web development, and automation. Skilled in Flask, Django, SQL, and emerging 
        AI/ML tools. Experienced in building scalable web apps and solving real-world 
        problems through code. Always eager to learn and contribute to impactful 
        open-source and team-based projects."""

me = PythonDeveloper()
me.say_hi()

Entry-level Python Developer skilled in web development, data analysis, and automation. Passionate about building data-driven applications using Python, Flask, Django, and AI/ML tools, with a focus on continuous learning and impactful solutions.

• 🔭 Currently working on AI-powered web applications and data analytics projects
• 🌱 Learning Advanced Python, SQL, AI/ML, and Cloud Technologies
• 💼 Seeking opportunities in Python Development, Backend Engineering, and Data Science
• 💬 Ask me about Python, Django, Flask, SQL, Data Analysis, Web Scraping
• 📫 Reach me at mithildabhi898@gmail.com
• 🌐 Portfolio: mithildabhi.in
• 📄 View My Resume

Twinnet Technologies | Surat, Gujarat | May 2025 - June 2025

• Developed Python scripts for data automation and task optimization
• Developed and debugged backend APIs using Flask
• Utilized Pandas and NumPy for data analysis and processing
• Collaborated with real-world client teams, enhancing communication and delivery skills
• Created visualizations with Matplotlib/Seaborn to support business decisions

skills = {
    "Python": "90%",
    "Python-Django": "90%", 
    "SQL": "70%",
    "Data Visualization": "60%",
    "Machine Learning": "30%"
}

Tech Stack: Python, Django, HTML, Bootstrap

• Built a role-based job portal enabling students to apply for jobs and companies to post openings
• Implemented job applications, bookmarking, resume uploads, and status tracking
• Companies can shortlist, reject, and hire applicants through an intuitive dashboard
• Streamlined the placement process making it easier and more efficient

Tech Stack: Python, Flask, Gemini AI, Pandas, Qdrant

• Developed a RAG (Retrieval-Augmented Generation) chatbot using Flask
• Integrated Google's Gemini API for intelligent, context-aware responses
• Built file upload functionality supporting CSV, PDF, DOCX with real-time processing
• Implemented chat history memory for contextual conversations

Tech Stack: Flutter, Dart, Python, Django

• Created an AI-powered salon booking system to match users with perfect stylists
• Developed cross-platform mobile application using Flutter
• Built backend API with Django for booking management

Tech Stack: Flutter, Dart, Python, Django

• Developed ride-sharing application for cost-effective carpooling
• Implemented real-time ride matching and booking system
• Private car owners can share rides to destinations at reduced fares

Tech Stack: Python, BeautifulSoup, Requests, Gmail SMTP

• Automated email alerts for Amazon product price drops using web scraping
• Utilized Gmail's secure SMTP with TLS encryption for notifications
• Monitors products and sends real-time alerts when prices decrease

📊 7+ Projects Completed | View More on GitHub