Dhruv Arora

Dhruv Arora has a diverse work experience in software engineering. Dhruv began their career as a Software Engineering Intern at Infosys in November 2015, where they developed full-stack web applications and worked with SQL and JSP. Dhruv then joined ASU Marketing Hub in August 2017 as a Software Engineer, Data, where they managed a text analytics project and utilized Rest API for data extraction. In October 2018, they joined OpenGov Inc. as a Software Engineer and later transitioned to the role of Senior Software Engineer in July 2022. At OpenGov, Dhruv worked on building a next-generation reporting platform using cutting-edge technologies, led planning and execution for critical projects, and collaborated closely with product and design teams.

Dhruv Arora has a diverse education history. Dhruv obtained their Bachelor's degree in Information Technology from Jaypee University of Information Technology in 2015. From 2016 to 2018, they pursued a Master's degree in Computer Science at Arizona State University. During this time, they also completed a Self Driving Car Nanodegree from Udacity in 2017. In the same year, they attended the Summer Session in Statistics at Stanford University.

Additionally, Dhruv has obtained several certifications to supplement their education. In 2017, they completed the courses "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" and "Neural Networks and Deep Learning" from Coursera. In 2019, they obtained certifications in "Developing Your Emotional Intelligence" from LinkedIn and "Learning webpack 4" from LinkedIn as well. Dhruv also holds an edX Verified Certificate for "The Analytics Edge," although the specific details regarding when they obtained this certification are not available.

In 2018, Dhruv Arora joined Pathrise to further their expertise in Computer Science. The provided information does not mention the duration of their tenure at Pathrise.

Overall, Dhruv Arora has a strong educational background with degrees and certifications in Computer Science, IT, Statistics, and Self Driving Car technology.