About

Souridas A is an Associate in Analytics & Business Insights at myntra with 0.86 years of relevant experience. He holds a Bachelor of Technology degree in Aerospace Engineering from the prestigious Indian Institute of Technology, Madras. Souridas has a strong background in data analysis, deep learning, and neural networks. He has worked as a Deep Learning Research Intern at TCS, where he predicted and visualized the temperature distribution inside APH using Physics Informed Neural Network. He also built a generalized APH thermal model that is BC adaptable and solved Burger’s equation with an accuracy of 10-5 MSE. Souridas formulated a custom loss function, optimized it using both Quasi-Newton (LBFGS) and gradient-based approaches, and identified and proposed a solution for the trivial solution convergence problem of PINN based method. Souridas has also worked as a Data Analyst at Blitz Jobs, where he developed skills in SQL, NLP, ML, Pandas, Apache Airflow, Search, Information Retrieval, SVM, Random Forest, and Python. He has experience in data analysis, data visualization, and machine learning models. Souridas is a highly skilled and motivated individual with a passion for research and development. He has excellent problem-solving skills and is always ready to take on new challenges. He is proficient in Azure and Web technologies and is well-versed in working with large datasets. Souridas is a team player and has excellent communication skills, making him an asset to any organization.