About

Aditi Swarnkar is a talented Speech Data Engineer with a passion for conversational artificial intelligence. She currently works at Uniphore, where she is a key member of the data science team responsible for developing and improving conversational AI solutions. Aditi is highly skilled in a range of technologies, including Machine learning, Tableau, SQL, Python, Linux, NLP tools, AWS, data engineering, and public speaking. Aditi's expertise in speech data analysis and machine learning has been honed through her work at some of the world's leading technology companies. Prior to joining Uniphore, Aditi worked for Amazon's Alexa Data Service team as a Machine Learning DA. In this role, she provided data creation, curation, and analytics services to help develop, test, and train the Alexa AI. Aditi also worked for Alexa's international quality assurance team in WTC, where she was responsible for full regression testing for Alexa Echo Show 5 for various domains and service providers on a sprint basis. Before her time at Amazon, Aditi worked as a Business Intelligence Analyst at Goldstone Technologies. Here, she developed her skills in SQL, data warehousing schemas, Python, Tableau basic and advanced, Tableau server, and R integration. Aditi holds a Bachelor of Technology in Computer Science Engineering, specializing in Oil and Gas Informatics, from MIT World Peace University, where she graduated in 2018. Prior to this, she completed her schooling in Mathematics and Computer Science at Kendriya Vidyalaya in 2013. Aditi's technical expertise includes AI, data engineering, data science, machine learning, SQL, AWS, test, NLP, Python, QA, and integration. With 4.86 years of relevant experience, Aditi is a talented and highly skilled professional with a passion for using technology to create innovative solutions.