About

Amritesh Nandan is an accomplished Data Scientist with a Master's degree in Computer Science and over 1.28 years of relevant experience in the field. With a strong background in Python and knowledge of various machine learning techniques, he has developed a set of skills in predictive modelling, data processing, and data mining algorithms to solve complex business problems. He is also well-versed in statistics, data visualization, and Power BI. Amritesh has worked on several challenging projects, including Morphological Classification of Galaxies and Categorization of Stellar Objects Based on their Chemical Abundance. For the former project, he was responsible for data cleaning and preprocessing, transfer learning with EfficientNet B0, custom CNN development, model optimization, and deployment using Heroku on the server. The latter project required him to collect data from a relational database using Hypatia's API, preprocess data using Auto-Encoder and UMAP, develop a model using HDBSCAN algorithm for hierarchical categorization, and deploy the model using Heroku for end-to-end delivery. Amritesh's technical expertise includes Keras, Pytorch, Scikit Learn, SQL, CNN, Python, TensorFlow, and Pandas. He has also worked with technology stacks such as Matplotlib, Numpy, and TensorRT. Amritesh is currently working as a Data Scientist at Webbed Technologies, where he continues to apply his skills in machine learning and data science to solve complex business problems. Overall, Amritesh is an accomplished Data Scientist with a strong background in machine learning and data science. His experience in developing and deploying models for complex business problems makes him a valuable asset to any organization.