Saurabh Agrawal

Saurabh Agrawal has a diverse work experience in the field of machine learning and data science. Saurabh is currently working as a Senior Machine Learning Engineer at Tubi since 2022. Prior to that, they worked at Amazon from 2019 to 2022, initially as an Applied Scientist I and then as an Applied Scientist II. At Amazon, they were involved in the development and application of machine learning algorithms.

Before joining Amazon, Saurabh worked as a Research Scientist Intern at Criteo in 2018. Here, they focused on user-prospecting and user look-alike modeling problems in e-commerce data using representation learning and deep learning techniques.

In 2017, Saurabh had a research internship at AT&T, where they analyzed large volumes of wireless services data to improve customer experience and ensure network reliability.

In 2016, Saurabh worked as a Data Scientist at NASA Ames Research Center, where they focused on finding anomalies in time-evolving graphs with applications to climate data. Saurabh'swork involved applying state-of-the-art techniques, analyzing results, and collaborating with climate scientists.

Saurabh started their career as a Research Assistant at the Department of Computer Science, University of Minnesota, where they worked on defining and analyzing multivariate relationships in spatial and temporal data.

Overall, Saurabh Agrawal has a strong background in machine learning, data analysis, and research, with experience in various industries including e-commerce, telecommunications, and space research.

Saurabh Agrawal's education history consists of two significant academic achievements. Saurabh completed their Bachelor of Technology (BTech) in Civil Engineering from the Indian Institute of Technology, Bombay, from 2008 to 2012. After that, they pursued a Doctor of Philosophy (PhD) in Computer Science from the University of Minnesota, which they completed in the period of 2012 to 2018.