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Archita Jain has a varied work experience in the field of software engineering and data science. In 2014, they worked as a SEAP Summer Intern at the Naval Postgraduate School. In 2016, they served as a CS 61A Lab Assistant at UC Berkeley. In 2017, Archita worked as a Software Engineer Intern at Cisco. From 2019 to 2020, they worked at NASA Ames Research Center as a Data Science Discovery Project Lead, where they led a team to design and develop an API and conducted regression analysis on flight deck data. In 2020, Archita worked as a Machine Learning Consultant at WEAVR, contributing to the development of unsupervised learning models. In 2021, they joined SailPoint as a Software Engineer and later moved to Expedera in the same role.

Archita Jain attended Lynbrook High School for their high school education. Archita then went on to pursue a Bachelor's Degree at the University of California, Berkeley, which they completed in 2020.

In addition to their formal education, Archita Jain obtained several certifications in the field of Deep Learning. Archita completed the following courses on Coursera: "Deep Learning Specialization" in January 2019, "Sequence Models" in January 2019, "Convolutional Neural Networks" in October 2018, "Structuring Machine Learning Projects" in September 2018, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in August 2018, and "Neural Networks and Deep Learning" in July 2018.