Ashutosh Nayak
About Ashutosh Nayak
Ashutosh Nayak is a Data Science Specialist at Brillio, with a strong background in data science and natural language processing. He has previously held positions at Cognizant, IBM, and Accenture, and holds a Master's degree in Computer Science from the Birla Institute of Technology and Science.
Work at Brillio
Ashutosh Nayak has been employed at Brillio as a Data Science Specialist since 2020. In this role, he focuses on leveraging data science techniques to drive insights and solutions. His work involves applying advanced methodologies to analyze data and develop predictive models, contributing to the company's data-driven decision-making processes.
Previous Experience at Cognizant
Prior to joining Brillio, Ashutosh Nayak worked at Cognizant as a Senior Data Scientist from 2016 to 2020. During his four years in this position, he was involved in various data science projects that enhanced operational efficiency and provided actionable insights for clients. His experience at Cognizant laid a strong foundation for his current role.
Career Background in Data Science
Ashutosh Nayak has a diverse background in data science, having held several key positions in the industry. He worked at IBM as a Senior Report & Dashboard Developer from 2011 to 2016, where he developed reporting solutions. Before that, he was a Report Developer at Accenture from 2007 to 2011, contributing to data visualization and reporting projects.
Education and Expertise
Ashutosh Nayak holds a Master's degree in Computer Science from the Birla Institute of Technology and Science, Pilani, which he completed from 2016 to 2018. He also earned a Bachelor of Technology in Computer Science from Orissa Engineering College, Bhubaneswar, from 2003 to 2007. His academic background supports his specialization in Natural Language Processing and expertise in implementing Deep Neural Networks, including RNN and CNN.
Continuous Learning and Development
Ashutosh Nayak actively engages in continuous learning to remain updated with the latest advancements in data science. He regularly reads blogs and research papers that focus on state-of-the-art techniques in the field. This commitment to ongoing education enhances his skills and knowledge, allowing him to apply innovative solutions in his work.