About

Raghuwansh Raj is an experienced data professional with a strong background in machine learning, data structures, and algorithms. He has expertise in programming languages such as C++, Python, Matlab, SQL, and AWS. Currently, he is working as a Data Engineer and Business Intelligence Intern at Amazon, where he is responsible for developing web applications, implementing time series forecasting models, and improving existing applications. Raghuwansh has a keen interest in machine learning and software development and is looking for roles in these fields. He is a Master of Science candidate in Data Science and Business Analytics at ESSEC-Centrale Supelec and holds a Bachelor of Technology in Engineering with a minor in Mathematics from the Indian Institute of Technology (BHU). In addition to his academic qualifications, Raghuwansh has worked as a Business Statistics Teaching Assistant at ESSEC Business School and completed a Corporate Research Project at Transvalor, where he implemented a Graph Neural Network surrogate model to approximate the Tracomplex simulation engine for the forging process. This project was guided by professors at Centrale Supelec and team members from Transvalor. Raghuwansh's technical skills include data engineering, AWS, machine learning, SQL, Python, web development, Sagemaker, deep learning, integration, and software engineering. He is a research scientist and has experience working with neural networks and search algorithms. Raghuwansh is a dedicated and hardworking individual with 0.53 years of relevant experience. He is open to discussing opportunities and can be contacted at raghuwansh.raj@essec.edu.