Rahul Varma has a diverse range of work experience in various companies and roles. Starting in 2016, they worked as an intern at Infogix, Inc., where they focused on ensuring data quality and applying statistical models to big data. From 2017 to 2019, Rahul worked at Oracle, starting as an intern and then progressing to roles such as Associate Consultant and Staff Consultant. During this time, they developed customization models, implemented cloud architecture, and created complex data models using PL/SQL.
In 2020, Rahul worked as a Data Analyst at ASU Decision Theater Network. In this role, they likely analyzed data to provide insights and support decision-making processes. In 2021, they joined Amazon as a Software Development Engineer Intern and contributed to the development of the Prometheus target allocation service for the OpenTelemetry Operator.
In 2021, Rahul also worked as a Graduate Service Assistant at the Active Perception Group. There, they developed a lightweight region proposal system based on binary and quantized neural networks. Rahul'swork resulted in a 3% improvement compared to other methods in the field. Finally, as of February 2022, Rahul is a Data Scientist specializing in Computer Vision at RadiusAI, Inc.
Overall, Rahul Varma has gained experience in various roles related to data analysis, software development, and computer vision.
Rahul Varma completed their Bachelor's degree in Computer Science from Amrita Vishwa Vidyapeetham, Coimbatore, between the years 2013 and 2017. Rahul then pursued a Master of Science degree in Computer Science from the Ira A. Fulton Schools of Engineering at Arizona State University, from 2020 to 2021. In addition to their formal education, Rahul also obtained several certifications, including "Google Cloud Platform Big Data and Machine Learning Fundamentals" and "Convolutional Neural Networks" from Coursera, in July 2020 and April 2020 respectively. Rahul also holds the "Oracle Utilities Customer Care and Billing 2 Certified Implementation Specialist" certification from Oracle, obtained in February 2018.
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