Tejaswini Kethineni
About Tejaswini Kethineni
Tejaswini Kethineni is a Data Analyst at LatentView Analytics in India, where she has worked since 2020. She holds a Bachelor of Technology in Electrical, Electronic and Communications Engineering from SASTRA and has experience in predictive modeling, SQL, and Deep Learning.
Work at LatentView Analytics
Tejaswini Kethineni has been employed at LatentView Analytics as a Data Analyst since 2020. In this role, she focuses on data analysis and predictive modeling, utilizing her skills in SQL and Deep Learning. Her tenure at LatentView Analytics spans four years, during which she actively seeks opportunities to learn and implement new ideas in the field of data analysis.
Education and Expertise
Tejaswini Kethineni earned her Bachelor of Technology (BTech) degree in Electrical, Electronic and Communications Engineering Technology/Technician from Shanmugha Arts, Science, Technology & Research Academy (SASTRA) in Thanjavur, completing her studies from 2016 to 2020. Prior to this, she studied at Narayana Engineering College, where she completed her Intermediate education with a focus on mathematics, physics, and chemistry from 2014 to 2016. Her educational background supports her extensive experience in predictive modeling and data analysis.
Internship Experience
Tejaswini Kethineni has gained valuable experience through various internships. She worked as a Student Intern at Massey University in New Zealand for six months in 2020. Additionally, she completed internships at Bharat Heavy Electricals Limited for one month in 2017, at the Defence Research and Development Organisation (DRDO) for one month in 2018, and at the Indian National Centre for Ocean Information Services (INCOIS) for two months in 2019, all based in Hyderabad, Telangana.
Skills and Attributes
Tejaswini Kethineni possesses strong analytical skills and is recognized for her ability to learn quickly. She is a great team player, which enhances her effectiveness in collaborative environments. Her expertise in data analysis, particularly in predictive modeling, SQL, and Deep Learning, positions her as a competent professional in the data analytics field.