Bicycle
Jaya Gupta has a diverse work experience spanning over several years. Jaya currently works as a Software Engineer at Bicycle since December 2020. Prior to this, they held multiple roles at AppDynamics, starting as a Senior Software Engineer Test from December 2017 to June 2019, and then as a Software Developer from July 2019 to December 2020. Jaya also worked at Actiance, Inc. as a Senior Member Technical - SDET from June 2017 to November 2017, a Member Technical - SDET from March 2015 to May 2017, and as a Systems Analyst - QA from July 2013 to March 2015. Jaya started their career as a Module Lead at Happiest Minds Technologies from November 2011 to June 2013. Before that, they worked as a Senior Development Engineer at Aditi Technologies from October 2009 to July 2011, and as a Development Engineer from July 2007 to July 2009, also at Aditi Technologies. Jaya has gained experience in software development, testing, automation, and QA throughout their career.
Jaya Gupta attended St. Xavier's School-Bokaro Steel City from 1991 to 2003. Although the degree name and field of study are not specified, it can be assumed that Jaya completed their primary and secondary education there. Afterward, Jaya enrolled at Visvesvaraya Technological University, where they pursued a Bachelor's degree in Computer Science from 2003 to 2007.
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Bicycle
Built to remove barriers in data insights that keep teams siloed — Bicycle is a Real-Time Insights & Operations platform that sits at the intersection of your Event Streaming Platform and Data Warehouse, to enable real-time insights, alerts, and automation. Bicycle can slice data by business dimension (e.g., by geography) and across software dimension (e.g., by application speed) to quicky find specific opportunities to impact the bottom line. Imagine a set of payment issues impacting only specific app users, login issues only impacting certain geographies, or a fast-growing customer loyalty segment that can be better revenue optimized. As data streams in, Bicycle automatically identifies and correlates anomalies using a rich set of tools and models. From the user-friendly interface, you can build a live software business graph, drill down into DevOps, set alerts, and drive automated responses to resolve issues quickly. Whether you’re a data scientist or a product owner with limited technology training, all of these insights can be self-served. Book a demo with us today at bicycle.io