Skills & Awards

Skills

Data Science & Programming

• Machine Learning Algorithms - Neural Networks, SVMs, KNN, Random Forest. • Languages - Python, JS, C. • Statistical analysis - Regression Models, ANOVA, Chi squared tests, Bayesian Models. • Data Visualization - Sympy(symbolic), Scipy, Matplotlib, Seaborn, Plotly, Obsidian, Mindmaps. • High-performance computing and Parallel computing - IISER TVM HPC cluster-link, MPI, slurm batch scripting, ensemble modelling. • WebUI Development(NodeJS & flask) & NLP Intent Recognition • Optimisation - Gradient descent, Metaheuristic algorithms (PSO, GA), Simulated Annealing, Bayesian optimisation.

Scientific Computing and Quantum Simulation

• Qiskit • Quantum Algorithms - VQE, QPE, QFT, etc • Rigid strategies for Bell and Network Non classical correlations • Neural Network Architecture - Restricted Bolztmann NN ansatz, Nonlocality witness. • Scientific packages & techniques - TensorFlow, MatLab, Mathematica, R • QuTip Quantum Channels and Density States • Perturbation theory, Variaotional methods, Adiabatic Approximation, DFT, Path Integral Formulation, Quantum MonteCarlo Methods • Solving PDEs (Shooting, Relaxation methods - Guass Seidel Algorithm)

Software skills

• Experienced in Adobe Photoshop, Adobe Lightroom, MS Office, Origin Pro, and Blender. • Image processing and Curve fitting in Biological and Chemical systems. • Biological and Chemical system illustration using Blender • Experienced in using finesse and Pygwinc packages and used it in a project in Build a Detector Workshop, LIGO-India • Intel One API, MPI, SLurm batch script, GCC