Ankita began her journey at KLU in September 2023 as a PhD candidate under the primary supervision of Prof. Dr. Alexander Himme and secondary supervision of Prof. Dr. Henrik Leopold. Her research primarily focuses on developing and applying systems that utilize state-of-the art machine learning algorithms to forecast the influence of non-financial information from earnings calls on firm value. This research topic showcases her dedication to exploring the intersection of machine learning, accounting, and marketing. It has the potential to provide valuable implications for managers, analysts, and investors that want to better understand the influence of non-financial information on firm value.

Ankita holds a Bachelor of Engineering in Information Technology from Amaravati University, India, and a Master's degree in Computer Science & Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, India. During her Master's program, she achieved a significant milestone by publishing her first article in a top-tier journal, showcasing her expertise and research capabilities. Her main areas of interest revolve around machine learning and data science, which highlight her passion for these fields.

Ankita had the opportunity to work at Accenture Solutions Pvt Ltd as a senior software engineer and team lead after completing her Bachelor's degree. During her time there, she gained valuable industry experience and had the chance to work in different locations such as London, United Kingdom, and Düsseldorf, Germany. Ankita has made significant contributions to various initiatives for clients in the financial and telecommunications sectors. Her expertise and experience have allowed her to provide valuable insights and solutions to these industries. Her contributions have helped clients in these sectors achieve their goals and improve their operations. Her participation in Corporate Social Responsibility initiatives was evident.