Data Scientist & Qiskit Advocate
Data Scientist & Qiskit Advocate specializing in Deep Learning, Quantum Computing, NLP, Machine Learning, and Statistical Analysis. Building high-accuracy ML models and novel quantum algorithms to solve complex problems.
About Me
I'm a Data Scientist and a Qiskit Advocate, with a passion for solving complex problems at the intersection of Physics, Deep Learning, NLP, Quantum computing, Quantum Machine Learning, and Machine Learning. I thrive on building solutions that matter—from developing ML models that achieve good accuracy on industrial datasets. I am working on Quantum Computing Solutions that outperform classical methods.
My technical toolkit is rooted in Python, Qiskit, Pennylane, Dwave-Ocean, and scikit-learn, with hands-on experience in cybersecurity analytics and environmental prediction. I hold an MSc in Physics from Netaji Subhas University of Technology and am driven by the challenge of applying my analytical skills to create a tangible impact.
Core Skills
Featured Projects
A selection of my work in Quantum computing, Machine learning, and Data science.
Quantum-Classical Pipeline for Classifying Water Contaminants
Hybrid Quantum-Classical Neural Network (HQ-NN) to identify four different types of contaminant ions in water, using experimental data from photonic sensor.
Hybrid Classical-Quantum Neural Network
Building a Hybrid Quantum-Classical RNN (LSTM) to predict stock index closing prices, leveraging a VQC for enhanced feature learning.
AI-Powered Clinical Document Intelligence System
A context-aware, explainable clinical NLP system for automated medical document understanding, designed to align with real-world healthcare workflows rather than naive end-to-end prediction.
Explainable Credit Default Prediction System (AI Governance Ready)
This project implements a production-grade, explainable credit risk prediction system designed with regulatory, ethical, and governance considerations in mind.
Optimizing Energy Demand Response
Utilizing quantum algorithms to optimize energy demand response systems, improving efficiency and stability in power grids.
Retail Demand Forecasting & Pricing Intelligence
End-to-end retail demand forecasting and pricing intelligence system that combines time-series modeling, machine learning, and industry-grade MLOps practices.
Quantum-Powered Portfolio Optimizer
Implemented a Quantum Approximate Optimization Algorithm (QAOA) on financial datasets to optimize a 31-asset portfolio, achieving superior returns.
Quantum Route Optimization
Applying quantum algorithms to solve complex route optimization problems, similar to the Traveling Salesperson Problem (TSP).
End-to-End MLOps Pipeline for Customer Churn Prediction
full production-grade MLOps pipeline for customer churn prediction. It covers data ingestion, preprocessing, model training, evaluation, deployment, CI/CD, Kubernetes orchestration, and production monitoring.
Publications/Articles
I also write about my findings, experiments, and tutorials. Check out my latest articles.
Symmetry-Preserving Variational Quantum Simulation of the Heisenberg Spin Chain on Noisy Quantum Hardware
A Deep Dive into VQEs
Another placeholder for a future article.
Quantum Machine Learning
Another placeholder for a future article.
Get in Touch
I'm open to discussing new projects, research collaboration, or freelance opportunities.