Bicycle
Ganesh Sundar C has worked as a Senior Software Engineer at Bicycle since February 2021. At Bicycle, their role involves software development for Real-Time Revenue Operations. Prior to that, they worked as a Senior Software Engineer at Indus OS from March 2019 to February 2021. Ganesh Sundar also gained experience as a Software Engineer at Fidelity Investments from July 2016 to March 2019, and as an Intern at Fidelity Investments in June and July 2015. Ganesh Sundar was an IAS Summer Fellow at IIT Ropar, Punjab in June and July 2014.
Ganesh Sundar C completed a Bachelor's Degree in Electrical and Electronics Engineering from the National Institute of Technology, Tiruchirappalli. Ganesh Sundar attended this institution from 2012 to 2016.
Before their bachelor's degree, Ganesh completed high school at DAV Gopolapuram, Chennai from 2010 to 2012.
Prior to high school, Ganesh attended AECS Anupuram from 2000 to 2010, although the degree and field of study are not specified.
In addition to their formal education, Ganesh obtained several certifications. In 2017, they earned a certification in Docker Technologies for DevOps and Developers from Udemy. In the same year, they obtained the Scrum Fundamentals Certified certification from SCRUMstudy - Accreditation Body for Scrum and Agile. In 2014, Ganesh obtained the Introduction to Linux certification from The Linux Foundation.
Furthermore, Ganesh has obtained a certification in Speechcraft, although the specific institution and date of acquisition are not provided.
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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