Sai Jashwanth Reddy Banda
About Sai Jashwanth Reddy Banda
Sai Jashwanth Reddy Banda is an Associate Data Scientist currently working at Spinny in Gurugram, Haryana, India. He has a background in data science and biotechnology, with previous experience as a consultant and intern in various organizations.
Current Role at Spinny
Sai Jashwanth Reddy Banda currently holds the position of Associate Data Scientist at Spinny, where he has been employed since 2024. His role is based in Gurugram, Haryana, India, and follows a hybrid work model. In this position, he applies his expertise in data science to contribute to the company's projects and initiatives.
Previous Experience at Spinny
Prior to his current role, Sai worked as a Data Science Consultant at Spinny from 2023 to 2024. During this six-month tenure, he was involved in various data-driven projects, utilizing his skills to support the company's objectives in the automotive sector.
Internship Experience
Sai Jashwanth Reddy Banda gained valuable experience as a Data Science Intern at Wobblrr in 2022, where he worked for two months. Additionally, he completed a Machine Learning Internship at ENVIROPROMISE in 2021, also for two months, in Hyderabad, Telangana, India. These internships provided him with practical exposure to data science applications.
Education and Academic Background
Sai completed his Bachelor of Technology (BTech) in Biotechnology at the National Institute of Technology Rourkela from 2019 to 2023. He also attended Narayana Junior College, where he studied Mathematics, Physics, and Chemistry (MPC) from 2017 to 2019. His foundational education includes achieving the Secondary School Certificate (SSC) at Shree Gayathri High School from 2005 to 2017.
Research and Participation in Conferences
Sai has contributed to the academic community by publishing a conference paper on artificial intelligence in healthcare at the International Conference on Multimodal Interaction (ICMI), which was conducted by IIT Jodhpur. He also participated in the Amazon ML Summer School 2022, where he enhanced his understanding of machine learning algorithms and model deployment.