About

Shubham Maheshwari is a highly motivated and skilled Data Science enthusiast with over 3 years of experience in the field. He is a logical and critical thinker with a passion for sharing knowledge and achieving results through technical excellence and comprehensive data analysis. Currently, Shubham is working as a Principal Architect at edelweiss, where he is responsible for designing and implementing data-driven solutions for various business problems. He has also worked as an Associate at edelweiss in the past. Shubham's experience also includes working as a Research Intern at Agustya Analytics, where he was involved in predicting movement in global markets using machine learning techniques such as RandomForest, XGBoost, and neural networks to create a profitable trading strategy. Shubham holds a Post Graduation Program in Data Science from International School of Engineering (INSOFE) and a Bachelor of Engineering in Information Technology from Thakur College of Engineering and Technology (TCET). Shubham's technical skills include expertise in AWS, Azure, Python, Databricks, Big Data, ML, SQL, ETL, Random Forest, Web, Hyperparameter, Data Engineering, Deep Learning, Data Warehouse, Neural Networks, PHP, Microservices, Search, Backend, and Software Engineering. Overall, Shubham has 3.79 years of relevant experience in the field of Data Science and has a proven track record of delivering successful projects. He is a valuable asset to any organization that values technical excellence, critical thinking, and data-driven decision-making.