π B.Tech CSE (IoT & Cybersecurity) Student
β½ Passionate Football Fan who enjoys strategy, teamwork, and competition both on the field and in technology.
π Tech enthusiast exploring the intersection of:
- Artificial Intelligence & Machine Learning
- Quantum Computing & Quantum Machine Learning
- Computer Vision
- Healthcare AI
- Data Science
- Intelligent Systems
π¬ 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.
- π View on ResearchGate
π 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.
- 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:
π Data Cleaning & Wrangling
π Exploratory Data Analysis (EDA)
π€ Machine Learning Model Development
π Time Series Analysis
π Real Estate Price Prediction
π Air Quality Forecasting
π Model Evaluation using RMSE, Correlation Analysis, ACF & PACF
Tools Used:
Python β’ Pandas β’ NumPy β’ Scikit-Learn β’ Matplotlib β’ 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
π Research Paper Presenter β NCRTST'25
π IEEE Peer Reviewer β GCON'26 (IIT Guwahati)
π NPTEL Certified in Internet of Things (IIT Kharagpur)
π ACM Student Chapter Member
π Hacktoberfest Contributor
π GSSoC '25 Contributor
π OSCI '25 Contributor
π GitHub Pull Shark Achievement
Python β’ Java β’ JavaScript β’ Bash β’ HTML β’ CSS
Scikit-Learn β’ Pandas β’ NumPy β’ TensorFlow β’ PyTorch β’ OpenCV
Qiskit β’ Quantum Circuits β’ Quantum Algorithms
Git β’ GitHub β’ Linux β’ Django β’ MySql β’ FastAPI
- 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:
β½ Watching football
ποΈ Following Formula 1
π· Exploring photography
π Reading about emerging technologies
π¬ Working on research ideas
"Whether it's a football match, a machine learning model, or a quantum circuit β 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.


