Sanjith Hebbar

Sanjith Hebbar has worked as a Research Scientist at Odin Vision since January 2023. Prior to that, they were a Junior Research Scientist at the same company from February 2021 to January 2023. Sanjith also worked as a Research Intern at Odin Vision from September 2020 to January 2021. Before joining Odin Vision, they worked as a Machine Learning Engineer at Xenon Automotive from December 2018 to July 2019, and again from August 2018 to October 2018.

Sanjith Hebbar's education history is as follows:

From 2019 to 2020, Sanjith attended UCL, where they pursued an MSc in Data Science and Machine Learning with a focus on Computer Science.

Prior to that, from 2015 to 2018, they completed their Bachelor of Computer Application degree in Computer Science at Christ University in Bangalore.

In the years 2013 to 2015, Sanjith attended Sri Kumaran PU College in Bangalore, where they studied Computer Science during 11th and 12th grade.

Starting from 2008 and continuing until 2013, Sanjith attended The Brigade School in Bangalore, where they completed their 6th to 10th-grade education.

In addition to their formal education, Sanjith has acquired several certifications. In June 2020, they obtained a certification in "Image Compression and Generation using Variational Autoencoders in Python" from Coursera. In October 2019, they received certifications in "Mathematics for Machine Learning: Linear Algebra" and "Mathematics for Machine Learning: Multivariate Calculus" from Coursera.

Furthermore, Sanjith has completed certifications such as "Build Your Own Chatbot," "Data Analysis with Python," "Data Science Hands-On with Open Source Tools," "Data Science Methodology," "Data Visualization with Python," and "Introduction to Data Science" from IBM Cognitive Class in July 2018.

Prior to that, in June 2018, they completed the "Intro to Python for Data Science Course" from DataCamp, as well as the "Introduction to R Course" in the same month.

Lastly, in May 2018, Sanjith obtained a certification in "Deep Learning Prerequisites: The Numpy Stack in Python" from Udemy.