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mithildabhi/README.md

Hi πŸ‘‹, I'm Mithil Dabhi

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πŸš€ About Me

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

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

πŸ’Ό Professional Experience

πŸ”Ή Python Developer Intern

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

πŸ› οΈ Skills & Technologies

Core Programming

Python SQL C C++

Web Development

Django Flask HTML5 CSS3 Bootstrap REST API

Data Science & ML

Pandas NumPy Matplotlib Scikit-learn BeautifulSoup

AI & Integration

Gemini AI RAG Qdrant

Mobile Development

Flutter Dart

Tools & Technologies

Git GitHub Docker VS Code Notion Netlify Render


πŸš€ Featured Projects

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

πŸ“Š GitHub Analytics

mithildabhi


πŸ“ˆ Profile Views

Profile views


⭐️ From mithildabhi

"I love to solve business problems & uncover hidden data stories"

πŸ’Ό Open to Opportunities

Looking for Python Developer, Backend Engineer, or Data Analyst roles.
Let's connect and build something amazing together! πŸš€

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  1. car-connect-car-pooling car-connect-car-pooling Public

    Private Car Sharing Application πŸš—

    JavaScript

  2. Amazon_Product_Email_price_Alert Amazon_Product_Email_price_Alert Public

    A Python script that tracks Amazon product prices and sends an email alert when the price drops below your set threshold

    Python

  3. Flask-Basic-Tutorial Flask-Basic-Tutorial Public

    Flask_Basic_Tutorial_All topics covered here

    Python

  4. Grooming_service Grooming_service Public

    A complete salon booking mobile application built with Flutter and Django REST Framework. this project feature are real-time booking managment system for both users and salon admins.

    Dart