Hari Yeddula

Hari Yeddula has been working in the field of data science since 2017. From 2017 to 2018, they worked as a Machine Learning Engineer at Tenfold and Clarify, Inc. In 2018, they began working at Attadale Partners as a Data Scientist. There, they formulated an NLP-driven analytics pipeline that leveraged State of the Art deep learning to segment a volume of over 58 million calls a year, winning two patents in the process. In 2021, they began working at Stanley Black & Decker, Inc. as a Data Scientist NLP, where they built a system to summarize user-prioritized trends in eCommerce. Hari also developed multi-lingual NLU capacity for an eCommerce review-based insight engine for Latin American and European languages. Hari is currently working at Alkymi as a Data Scientist.

Hari Yeddula attained a Bachelor's degree in Computer Science from BMS Institute of Technology and Management between 2011 and 2015. Hari then obtained a Master's degree in Data Science from Indiana University Bloomington between 2016 and 2018. In November 2020, they became a Microsoft certified Azure Data Scientist from Microsoft.