Gayathri Dandugula
About Gayathri Dandugula
Gayathri Dandugula is a Data Scientist currently employed at Bosch Global Software Technologies in Bengaluru, Karnataka, India. She has a background in Electronics and Communications Engineering and has held various roles in data science and deep learning across multiple organizations.
Work at Bosch Global Software Technologies
Gayathri Dandugula currently works at Bosch Global Software Technologies as a Data Scientist. She has been in this role since 2022, contributing to various projects that leverage her expertise in machine learning and computer vision. Prior to her current position, she completed a Data Science internship at Bosch from 2019 to 2020, where she gained valuable experience in the field.
Experience at Flux Auto
From 2020 to 2022, Gayathri Dandugula served as a Deep Learning Engineer at Flux Auto in Bangalore Urban, Karnataka, India. In this role, she focused on developing deep learning models and algorithms, enhancing her skills in artificial intelligence and data analysis.
Education and Expertise
Gayathri Dandugula completed her Bachelor of Technology in Electronics and Communications Engineering at Rajiv Gandhi University of Knowledge Technologies, RK Valley, from 2016 to 2020. She also attended Sarada Girls High School, where she achieved her Secondary School Certificate (SSC) from 2009 to 2014. Her educational background provides a strong foundation for her work in data science and engineering.
Previous Roles and Projects
In addition to her roles at Bosch and Flux Auto, Gayathri Dandugula worked as a Project Assistant at IIT Hyderabad for five months in 2019. She also contributed to a project at REC Limited, focusing on solar-based autonomous driving vehicles for three months in 2019. Her involvement in these projects reflects her commitment to advancing technology in machine learning and computer vision.
Interests in Machine Learning and Computer Vision
Gayathri Dandugula has a keen interest in projects that challenge her and provide opportunities for growth in the fields of machine learning and computer vision. This passion drives her professional development and influences her contributions to the projects she undertakes.