About

Sayan Chatterjee is an experienced data scientist with expertise in solving complex problems across multiple domains, including structured financial data, computer vision systems, and natural language processing. With over 5 years of relevant experience, he has worked with leading organizations such as Envestnet Yodlee, American Express, and PwC. Currently, Sayan is working as a Data Scientist at Walmart, where he is responsible for solving large-scale complex data science problems using a huge financial database for the company's different financial products. Prior to this, he worked with Envestnet Yodlee as a Data Scientist, where he developed statistical and deep learning models for different financial products and solved multiple time series and mathematical optimization-related problems. Sayan's previous experience also includes working as a Research Engineer in ML&AI labs at American Express, where he researched core machine learning areas such as deep learning, statistical learning, NLP, and text mining to solve problems that posed challenges to the analytics and model building teams. Additionally, he has worked with PwC on building relationships with multiple clients and stakeholders and worked on a few data science-based proof of concepts and projects as an Associate. Sayan holds a Master of Technology (MTech) degree in Computer Science from the Indian Statistical Institute, Kolkata, and a Bachelor of Electrical Engineering degree from Jadavpur University. He has expertise in research and data science and is proficient in Python, Keras, Tensorflow, Pytorch, and other relevant technologies. Overall, Sayan is a highly skilled data scientist with a diverse background in solving complex problems across multiple domains. He is an expert in research and data science and has worked with leading organizations to develop innovative solutions using cutting-edge technologies.