About

Shourya Sharma is a highly skilled software professional with over 6 years of industry experience. He has a unique blend of expertise in software engineering, machine learning, and data analysis. Currently, he works as a Software Development Engineer II at Amazon, where he specializes in supply chain optimization. Shourya is well-versed in various programming languages, including Python, SQL, Java, and Jupyter Notebook. He has extensive experience in data science and machine learning, having worked on projects that involved data analysis, data visualization, and machine learning. He is proficient in using tools such as PyCharm, Git, and Docker. In his professional experience, Shourya has worked on various machine learning techniques such as regression modeling, random forest, XGBoost, kNN classifier, k-means clustering, feature extraction, dimensionality reduction, deep learning, convolutional neural network, and time series analysis. He has also developed expertise in business domains such as sales and marketing analytics, customer segmentation, customer retention analysis, and product analytics. Shourya pursued his Master's degree in Computer Science from Stony Brook University, specializing in data science. He has worked with various companies such as Dreampool Developers and Infosys, where he gained experience in machine learning engineering, system engineering, and data analysis. Overall, Shourya Sharma is a highly skilled software professional with a passion for machine learning and data analysis. He is a valuable asset to any organization looking to leverage data to drive business growth.