Sandipan Dutta
About Sandipan Dutta
Sandipan Dutta is a Data Architect specializing in Data Science and Analytics, currently working at the American Chemical Society. He has extensive experience in data architecture and analytics, having previously held positions at IBM, Cognizant, Deloitte, and Infosys Technologies Ltd.
Work at American Chemical Society
Sandipan Dutta has been employed at the American Chemical Society as a Data Architect specializing in Data Science and Analytics since 2016. In this role, he focuses on leveraging data assets and artificial intelligence to provide competitive advantages for enterprises. His work involves architecting data solutions that enhance the organization's capabilities in managing and utilizing data effectively.
Education and Expertise
Sandipan Dutta holds a Bachelor of Technology in Electronics & Telecommunication Engineering from St. Thomas' College of Engineering and Technology, which he completed from 2000 to 2004. He furthered his education at The Ohio State University, where he studied Data Science and Advanced Analytics, achieving the Certified Professional Data Analyst (CPDA) designation. His expertise includes architecting Data as a Product (DaaP) and Data as a Service (DaaS) solutions, as well as integrating machine learning with data architecture.
Professional Background
Sandipan Dutta has a diverse professional background in data architecture and analytics. He began his career at Infosys Technologies Ltd as a Technology Lead from 2004 to 2009. He then worked at IBM as a Data Specialist from 2009 to 2011 in Bengaluru, India. Following this, he served as a Data Architect at Cognizant from 2011 to 2016 in the Dallas/Fort Worth Area, and briefly at Deloitte in 2016. His extensive experience spans various roles and responsibilities in the data domain.
Certifications and Skills
Sandipan Dutta possesses AWS certification, which enhances his skills in building data solutions. His technical proficiency combines machine learning experience with data architecture, allowing him to create innovative data solutions that meet the needs of modern enterprises. His focus on leveraging data and AI positions him as a valuable asset in the field of data science and analytics.