🎓 B.Tech CSE (IoT & Cybersecurity) Student

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

🚀 Tech enthusiast exploring the intersection of:

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

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

• 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.
• 🔗 View on ResearchGate

• 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.

• 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.

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

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

📊 Data Cleaning & Wrangling

📈 Exploratory Data Analysis (EDA)

🤖 Machine Learning Model Development

📉 Time Series Analysis

🏠 Real Estate Price Prediction

🌍 Air Quality Forecasting

📋 Model Evaluation using RMSE, Correlation Analysis, ACF & PACF

Tools Used:

Python • Pandas • NumPy • Scikit-Learn • Matplotlib • Plotly

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

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

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

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

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

• 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

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

• 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

🏅 Research Paper Presenter — NCRTST'25

🏅 IEEE Peer Reviewer — GCON'26 (IIT Guwahati)

🏅 NPTEL Certified in Internet of Things (IIT Kharagpur)

🏅 ACM Student Chapter Member

🏅 Hacktoberfest Contributor

🏅 GSSoC '25 Contributor

🏅 OSCI '25 Contributor

🏅 GitHub Pull Shark Achievement

Python • C++ • JavaScript • Bash • HTML • CSS

Scikit-Learn • Pandas • NumPy • TensorFlow • PyTorch • OpenCV

Qiskit • Quantum Circuits • Quantum Algorithms

Git • GitHub • Linux • Django • MongoDB • Arduino

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

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

⚽ Watching football

🏎️ Following Formula 1

📷 Exploring photography

📚 Reading about emerging technologies

🔬 Working on research ideas

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

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

Building intelligent systems today while exploring the technologies of tomorrow.