About

Souparna Das is a passionate data scientist with a keen interest in using machine learning, neural networks, programming languages, NLP, and computer vision to create innovative solutions that can change the world. With 2.86 years of relevant experience, Souparna has a proven track record of delivering exceptional results in various data science projects. Currently, Souparna works as a Data Scientist at Brane Enterprises, where he is responsible for recommending usable measures and creating pipelines for predictive analytics. He has used transformer-based techniques to provide contextual text-based measures that can seamlessly flow into the system and provide analytical insights about transactions. Souparna has also created pipelines for demand, sales, and seasonal forecast, which involve storing actual and predicting forecast from the best models in the database and connecting feature engineering and modeling pipelines to provide an end-to-end scaled system. He has also handled and created APIs for the same. Before joining Brane Enterprises, Souparna worked as a Research and Development Intern at Optum, where he worked on Online Topic Modelling for Short Texts. He used variants of Matrix Factorization techniques and made the system online so that the entire data need not be in the RAM, and the task can be accomplished starting with a single or a batch of data samples. Souparna also introduced a "decay" factor that helps the system to learn new topics quickly on the fly. Souparna holds a Master of Technology degree in Computer Science from IIIT Hyderabad. He has a strong tech stack that includes Python, ML, Neural Networks, Computer Vision, C, Web, NLP, Deep Learning, Search, Information Retrieval, Perceptron, Word2Vec, Data Engineering, Scikit, TensorFlow, MySQL, Flask, and PyTorch. Overall, Souparna is a skilled data scientist with a passion for using technology to solve real-world problems. His expertise in various domains makes him a valuable asset to any organization.