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shirshanag/README.md

⚽ Hi, I'm Shirsha Nag

Football Enthusiast β€’ Quantum Explorer β€’ AI/ML Developer β€’ Tech Lover

Typing SVG


⚑ About Me

πŸŽ“ B.Tech CSE (IoT & Cybersecurity) Student

⚽ Passionate Football Fan who enjoys strategy, teamwork, and competition both on the field and in technology.

πŸš€ Tech enthusiast exploring the intersection of:

  • Artificial Intelligence & Machine Learning
  • Quantum Computing & Quantum Machine Learning
  • Computer Vision
  • Healthcare AI
  • Data Science
  • Intelligent Systems

πŸ”¬ Research-focused developer building innovative solutions that combine science, AI, and emerging technologies.


πŸ“„ Research Experience

🧬 P1 β€” Quantum Computing and Molecular Stability: A New Frontier in Drug Discovery

  • Conference: National Conference on Recent Trends in Science and Technology (NCRTST'25), India, 2025
  • Role: Research Paper Presenter
  • Explored the application of quantum computing to simulate molecular stability, proposing a novel approach to accelerate drug discovery pipelines using quantum circuits.
  • πŸ”— View on ResearchGate

🏠 P2 β€” House Price Prediction in Boston: A Comparative Study of Classical and Quantum Machine Learning Approaches

  • Venue: IIT Dhanbad
  • Benchmarked classical regression models against quantum kernel-based approaches (Qiskit) on the Boston housing dataset, analyzing accuracy, convergence, and computational trade-offs.

πŸ”Š P3 β€” Benchmarking Quantum Classifiers for Sonar-Based Mine Detection

  • Conference: GCON'26, IIT Guwahati
  • Role: Author & IEEE Peer Reviewer
  • Investigated and compared the performance of three different quantum machine learning algorithms on sonar datasets for underwater mine detection, contributing to applied quantum ML research.
  • Also served as an IEEE Peer Reviewer at GCON'26 (IIT Guwahati), evaluating submitted research papers for the conference.

πŸ“š Current Learning Journey

  • Quantum Computing with Qiskit
  • Quantum Machine Learning
  • Computer Vision & Deep Learning
  • Linux & Cybersecurity
  • Advanced Data Science
  • Research Methodology

πŸŽ“ Data Science Experience

WorldQuant University – Applied Data Science Lab

Completed multiple end-to-end Data Science projects involving:

πŸ“Š Data Cleaning & Wrangling

πŸ“ˆ Exploratory Data Analysis (EDA)

πŸ€– Machine Learning Model Development

πŸ“‰ Time Series Analysis

🏠 Real Estate Price Prediction

🌍 Air Quality Forecasting

πŸ“‹ Model Evaluation using RMSE, Correlation Analysis, ACF & PACF

Tools Used:

Python β€’ Pandas β€’ NumPy β€’ Scikit-Learn β€’ Matplotlib β€’ Plotly


πŸ”¬ Research Interests

  • Quantum Computing
  • Quantum Chemistry
  • Quantum Machine Learning
  • Healthcare AI
  • Medical Imaging
  • Explainable AI (XAI)
  • Computer Vision
  • Intelligent Systems

πŸš€ Featured Projects

βš›οΈ Quantum Projects

  • Quantum Molecular Stability Calculator
  • Quantum Ovarian Morphology Simulator
  • Quantum Regression using Qiskit
  • PCOS Clinical Analysis & Prediction System
  • Quantum vs Classical Machine Learning Performance Analysis

πŸ€– AI & Machine Learning

  • Netflix Recommendation System
  • Diabetes Prediction Models
  • Customer Segmentation
  • Bankruptcy Prediction
  • Earthquake Damage Classification
  • Alzheimer Classification
  • Mistral Mind

πŸ‘οΈ Computer Vision

  • Face Detection & Recognition
  • PPE Detection System
  • Hand Gesture Volume Controller
  • Image Classification using CNN

🌐 IoT & Embedded Systems

  • Orbit-32 IoT Lab
  • Arduino Sensor Projects
  • Smart Embedded Applications

🌐 Web Development

πŸ” Burger King E-Commerce Platform

  • Built a full-stack e-commerce platform using Django
  • Product catalog and menu management
  • Shopping cart and order processing
  • User authentication and account management
  • Responsive web interface

πŸ”§ Prefix

  • Web application developed using Django
  • Focused on scalable backend architecture
  • Database-driven workflows and user management

πŸš€ LeadForge CRM (Currently Building)

  • Customer Relationship Management (CRM) platform
  • Lead tracking and pipeline management
  • Contact and company management
  • Sales workflow automation
  • Analytics and reporting dashboard
  • Built with Django and modern web technologies

πŸ† Achievements

πŸ… Research Paper Presenter β€” NCRTST'25

πŸ… IEEE Peer Reviewer β€” GCON'26 (IIT Guwahati)

πŸ… NPTEL Certified in Internet of Things (IIT Kharagpur)

πŸ… ACM Student Chapter Member

πŸ… Hacktoberfest Contributor

πŸ… GSSoC '25 Contributor

πŸ… OSCI '25 Contributor

πŸ… GitHub Pull Shark Achievement


πŸ› οΈ Tech Stack

Languages

Python β€’ Java β€’ JavaScript β€’ Bash β€’ HTML β€’ CSS

AI & Data Science

Scikit-Learn β€’ Pandas β€’ NumPy β€’ TensorFlow β€’ PyTorch β€’ OpenCV

Quantum Computing

Qiskit β€’ Quantum Circuits β€’ Quantum Algorithms

Development and Databases

Git β€’ GitHub β€’ Linux β€’ Django β€’ MySql β€’ FastAPI


🎯 Looking For

  • AI/ML Internships
  • Data Science Opportunities
  • Quantum Computing Research Roles
  • Open Source Collaborations
  • Deep-Tech Projects

⚽ Beyond Tech

When I'm not coding, you'll probably find me:

⚽ Watching football

🏎️ Following Formula 1

πŸ“· Exploring photography

πŸ“š Reading about emerging technologies

πŸ”¬ Working on research ideas


πŸ“Š GitHub Stats

πŸ“Œ Profile Stats

πŸ“ˆ Contribution Activity

Activity Graph

πŸ’‘ Motto

"Whether it's a football match, a machine learning model, or a quantum circuit β€” continuous improvement wins championships."


πŸ”— Connect With Me

  • GitHub: github.com/shirshanag
  • LinkedIn: linkedin.com/in/shirsha-nag-b4aa87219
  • Email: 15shirsha@gmail.com

⚽ + βš›οΈ + πŸ€– = Shirsha Nag

Building intelligent systems today while exploring the technologies of tomorrow.

Pinned Loading

  1. Molecular_stabilty_calculator Molecular_stabilty_calculator Public

    This repo is about a molecular stability calculator which calculate the stability of a given molecule by taking the atom or molecule and its gemotery as an input

    Python 1

  2. Tomato-Diseases-Classification- Tomato-Diseases-Classification- Public

    πŸ… TomatoDiseaseNet β€” A PyTorch CNN for classifying 10 tomato leaf diseases from images, demonstrating deep learning and computer vision for agricultural disease detection.

    Jupyter Notebook 1

  3. Task-Pilot Task-Pilot Public

    An AI task management agent that turns natural-language requests into database actions, retrieves relevant tasks, and provides context-aware recommendations through conversational interaction.

    Python

  4. Velox Velox Public

    Velox is a fast AI chatbot built with LangChain, Groq, and Streamlit, offering low-latency responses with real-time streaming and conversation history for a smooth interactive experience.

    Python

  5. Air-Quality-Forecasting Air-Quality-Forecasting Public

    Production-style MLE pipeline for multivariate air-quality forecasting, model serving, and interactive inference using XGBoost, FastAPI & Streamlit.

    Python

  6. InsightIQ InsightIQ Public

    Agentic AI data analyst that lets users analyze CSV datasets using natural language, with LLM-powered tool selection, Pandas-based analysis, filtering, and interactive Plotly visualizations.

    Python