Raj Kiran G S S
About Raj Kiran G S S
Raj Kiran G S S is a Data Scientist at App Orchid Inc, specializing in machine learning engineering and natural language processing solutions. He has a background that includes internships and a Bachelor's degree in Information Technology from Gokaraju Rangaraju Institute of Engineering and Technology.
Work at App Orchid
Raj Kiran G S S has been employed at App Orchid Inc since 2020, currently holding the position of Data Scientist in Hyderabad, Telangana, India. His role involves significant contributions to machine learning engineering projects. Prior to his current position, he completed a two-month internship at App Orchid Inc in 2020, as well as a one-month internship in 2018. His experience at the company spans various aspects of data science, particularly in developing natural language processing (NLP) solutions.
Education and Expertise
Raj Kiran G S S earned a Bachelor's degree in Information Technology from Gokaraju Rangaraju Institute of Engineering and Technology, where he studied from 2016 to 2020. He also completed his secondary education at Andhra Mahila Sabha P Obul Reddy Public School, achieving his 10th grade in 2014. His educational background provides a strong foundation in programming and data science, with proficiency in Python programming, especially in the context of data science and NLP applications.
Background
Raj Kiran G S S has a background that includes internships and professional experience in the field of data science. His initial exposure to App Orchid Inc began with an internship in 2018, followed by a subsequent internship in 2020. Since then, he has transitioned into a full-time role as a Data Scientist, focusing on machine learning and NLP solutions. His work is based in Hyderabad, Telangana, India.
Achievements in Machine Learning Engineering
At App Orchid Inc, Raj Kiran G S S has been involved in multiple projects that emphasize machine learning engineering. His specialization in developing NLP solutions highlights his contributions to the data science domain. The projects he has worked on reflect his ability to apply theoretical knowledge to practical applications in the field.