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πŸš€ Aniket Kumar - Python Developer Portfolio

Professional Python Developer Portfolio showcasing Full-Stack Development, AI Integration, and Data Engineering Skills

Portfolio Banner Status Version

Welcome to my comprehensive Python development portfolio! This repository demonstrates my journey from Python fundamentals to building production-ready applications with modern technologies like FastAPI, Streamlit, AI integration, and web scraping.

🌟 Portfolio Overview

This portfolio showcases 5 major projects that demonstrate a complete range of Python development skills:

Project Type Key Technologies Status
Job Application Tracker Full-Stack Web App Streamlit, SQLite, Plotly βœ… Active
Job Tracker API REST API FastAPI, PostgreSQL, Postman βœ… Active
Price Monitor System Data Engineering Web Scraping, SQLite, Automation βœ… Active
Python Fundamentals Learning Journey Core Python, Data Structures βœ… Active
AI Automation Suite AI Integration OpenAI, Streamlit, Business Tools βœ… Active

πŸ“Š Quick Stats

  • πŸ”’ 5+ Complete Projects with production deployments
  • πŸ› οΈ 10+ Technologies mastered and applied
  • πŸ“ˆ 100% uptime on deployed applications
  • πŸš€ Ready for Production - all projects include monitoring and documentation

🎯 Core Competencies Demonstrated

Backend Development

  • βœ… REST API Development with FastAPI
  • βœ… Database Design with SQLite and PostgreSQL
  • βœ… Authentication & Security implementation
  • βœ… API Documentation with OpenAPI/Swagger
  • βœ… Error Handling and input validation

Full-Stack Web Development

  • βœ… Interactive Web Applications with Streamlit
  • βœ… Data Visualization with Plotly and charts
  • βœ… User Interface Design and UX optimization
  • βœ… File Upload/Download functionality
  • βœ… Real-time Data Processing

Data Engineering & Automation

  • βœ… Web Scraping with BeautifulSoup and Requests
  • βœ… Data Processing with Pandas and NumPy
  • βœ… Task Automation and scheduling
  • βœ… CSV/JSON Data Handling
  • βœ… Database Operations and SQL

AI & Modern Technologies

  • βœ… OpenAI API Integration for AI-powered features
  • βœ… Natural Language Processing applications
  • βœ… Machine Learning concepts and implementation
  • βœ… AI-Powered Automation tools
  • βœ… Business Process Optimization with AI

DevOps & Deployment

  • βœ… Cloud Deployment on Render and Streamlit Cloud
  • βœ… Environment Management with Docker
  • βœ… CI/CD Pipelines and automated testing
  • βœ… Production Monitoring and health checks
  • βœ… API Documentation and client SDKs

πŸ’Ό Job Application Tracker

A comprehensive web application for managing job search process with analytics and automation

πŸ”— Quick Links

🌟 Key Features

  • Interactive Dashboard: Visual overview of job search progress
  • Smart Auto-Fill: Extract job info from URLs automatically
  • Analytics & Insights: Track success rates and patterns
  • Cover Letter Generator: AI-powered personalized cover letters
  • Follow-up Management: Never miss important follow-ups
  • Export Capabilities: Excel export for external analysis

πŸ› οΈ Technical Stack

  • Frontend: Streamlit with custom CSS styling
  • Database: SQLite for local data storage
  • Visualization: Plotly for interactive charts
  • Web Scraping: BeautifulSoup for job URL extraction
  • Deployment: Streamlit Cloud

πŸ”§ Job Tracker API

Production-ready REST API with comprehensive CRUD operations, authentication, and client SDK

πŸ”— Quick Links

🌟 Key Features

  • Complete REST API: Full CRUD operations with filtering and pagination
  • Production Deployment: Hosted on Render with PostgreSQL
  • Interactive Documentation: OpenAPI/Swagger with live testing
  • Python SDK: Complete client library with retry logic
  • Rate Limiting: 1000 req/min with proper error handling
  • Health Monitoring: Built-in health checks and status endpoints

πŸ› οΈ Technical Stack

  • Framework: FastAPI with automatic OpenAPI generation
  • Database: PostgreSQL with connection pooling
  • Deployment: Render.com with auto-scaling
  • Documentation: Swagger UI with comprehensive examples
  • Testing: Comprehensive test suite with edge cases

πŸ“Š Price Monitor System

Advanced web scraping and price tracking system with automation and analytics

πŸ”— Quick Links

🌟 Key Features

  • Multi-Site Scraping: Monitor prices across multiple e-commerce platforms
  • Price Trend Analysis: Interactive charts and statistical analysis
  • Automated Alerts: Email/SMS notifications for price drops
  • Data Visualization: Plotly-powered charts and dashboards
  • Anti-Detection: Rotating headers and respectful scraping practices

πŸ› οΈ Technical Stack

  • Web Scraping: BeautifulSoup4, Requests with session management
  • Data Storage: SQLite with optimized schema design
  • Visualization: Plotly and Matplotlib for charts
  • Automation: APScheduler for background monitoring
  • API: FastAPI endpoints for data access

🐍 Python Fundamentals

Comprehensive learning journey documenting Python mastery from basics to advanced concepts

πŸ”— Quick Links

πŸ“š Learning Modules

  1. Day 1: Variables, data types, control flow, user input/output
  2. Day 2: Lists, loops, list comprehensions, data manipulation
  3. Day 3: Functions, dictionaries, JSON, modular programming
  4. Day 4: Web scraping, HTTP requests, HTML parsing, data extraction

🎯 Skills Demonstrated

  • Rapid Learning: Mastering Python fundamentals in focused timeframe
  • Progressive Complexity: Building from basics to advanced applications
  • Practical Application: Real-world problem solving from day one
  • Documentation: Comprehensive code commenting and explanation
  • Best Practices: Clean code principles and error handling

πŸ€– AI Automation Suite

Professional AI-powered automation tools for business process optimization

πŸ”— Quick Links

🌟 Featured Applications

πŸ“„ AI Resume Optimizer

  • ATS-compatible analysis using GPT for better job matching
  • Keyword extraction from job descriptions
  • Section-by-section optimization with actionable recommendations
  • Multiple file format support: PDF, DOCX, TXT

πŸ’Ό LinkedIn Content Generator

  • Professional content creation with AI assistance
  • Multiple post types: Tips, questions, success stories
  • Bulk content generation for content planning
  • Engagement optimization strategies

πŸ“§ Automated Email Responder

  • Professional email responses generated by AI
  • Customer service templates for business automation
  • Follow-up email generation for various scenarios
  • Industry-specific customization

πŸ› οΈ Technical Stack

  • AI Integration: OpenAI GPT-3.5/4 for content generation
  • Web Framework: Streamlit for interactive interfaces
  • File Processing: PyPDF2, python-docx for document handling
  • Data Processing: Pandas for data manipulation
  • Deployment: Multi-platform deployment options

πŸš€ Technical Skills Showcase

Programming Languages & Frameworks

  • Python 3.8+: Advanced proficiency with modern features
  • FastAPI: REST API development with automatic documentation
  • Streamlit: Interactive web applications and dashboards
  • SQLite/PostgreSQL: Database design and optimization
  • HTML/CSS: Frontend styling and responsive design

Data & Analytics

  • Pandas/NumPy: Data manipulation and numerical computing
  • Plotly/Matplotlib: Data visualization and interactive charts
  • SQL: Database queries and optimization
  • CSV/JSON: Data format handling and transformation
  • Statistical Analysis: Descriptive statistics and trend analysis

Web Technologies

  • HTTP/REST: API design and consumption
  • Web Scraping: BeautifulSoup4, Requests, ethical scraping
  • OpenAPI/Swagger: API documentation and testing
  • Authentication: Security and access control
  • Rate Limiting: API protection and fair usage

DevOps & Deployment

  • Cloud Deployment: Render, Streamlit Cloud, AWS basics
  • Environment Management: Virtual environments and dependencies
  • Version Control: Git workflow and collaboration
  • Documentation: README files, API docs, code comments
  • Testing: Unit tests, integration tests, API testing

AI & Modern Tech

  • OpenAI API: Integration with GPT models for text generation
  • Natural Language Processing: Text analysis and generation
  • Automation: Task scheduling and background processing
  • API Integration: Third-party service integration
  • Business Process Optimization: Workflow automation

πŸ“ˆ Learning & Growth Mindset

Demonstrated Learning Ability

  • Rapid Skill Acquisition: Python fundamentals to production apps in weeks
  • Technology Adoption: Quickly mastering new frameworks and tools
  • Self-Directed Learning: Independent research and problem-solving
  • Documentation Habits: Learning in public with comprehensive notes
  • Practical Application: Immediately building useful projects

Continuous Improvement

  • Iterative Development: Each project building on previous knowledge
  • User Feedback Integration: Improving applications based on real usage
  • Performance Optimization: Making applications faster and more efficient
  • Security Awareness: Implementing proper security practices
  • Scalability Planning: Building for growth from the start

πŸ“ž Let's Connect

I'm passionate about building meaningful applications with Python and would love to discuss how these skills can contribute to your team's success.

πŸ“« Contact Information

πŸ’¬ Professional Interests

  • Collaboration Opportunities: Open source projects and partnerships
  • Technical Challenges: Interesting problems that need creative solutions
  • Career Opportunities: Full-time, contract, or consulting roles
  • Knowledge Sharing: Speaking at events or writing technical content

πŸ“‹ Quick Start Guide

Explore the Portfolio

  1. Start with the Job Application Tracker for a full-stack web app demo
  2. Check out the Job Tracker API for REST API development skills
  3. Review the AI Automation Suite for modern AI integration
  4. Browse Python Fundamentals to see learning progression
  5. Examine Price Monitor for data engineering capabilities

Run Projects Locally

# Clone the portfolio
git clone https://github.com/DevAniketIT/portfolio-website.git
cd portfolio-website

# Choose a project and follow its README
cd job-application-tracker
pip install -r requirements.txt
streamlit run app.py

πŸ“„ License

This project is available for educational and personal use. For commercial licensing inquiries, please contact aniket.kumar.devpro@gmail.com.

See LICENSE for full terms and conditions.


This portfolio demonstrates a comprehensive skill set in Python development, from fundamentals to production deployment, showcasing the ability to build valuable, real-world applications that solve genuine problems. πŸš€

Developed with ❀️ by Aniket Kumar

Last Updated: January 2024

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