Mridul Singhal

Background

About Mridul Singhal

I'm a data science enthusiast passionate about solving complex problems using machine learning, deep learning, and statistical modeling. I'm working on real-world data projects involving deep learning and predictive analytics. I enjoy translating raw data into actionable insights. I'm proficient in Python, PyTorch, TensorFlow/Keras, and SQL - using these tools to tackle challenges across domains. Before transitioning into data science, I built a strong foundation in computational sciences through a Master’s in Physics from IIT Delhi and a B.Tech in Mechanical Engineering. My work spanned quantum computing hardware, quantum emitters for cryptography, and topological materials, using advanced simulation tools like VASP, Quantum ESPRESSO, and FEM-based solvers. I’ve continuously operated at the crossroads of theory and computation, bringing physical insight into high-performance numerical modeling. Now, I’m focused on applying these skills to data-driven problems—modeling uncertainty, optimizing systems, or uncovering hidden patterns in data. I thrive in analytical environments and am excited to bring my computational thinking into roles in data science, machine learning, or applied AI.