Bicycle
Piyush Moolchandani has a diverse work experience, starting in 2020 with a role as a Campus Lead at Scaler Academy. In 2020, they also worked as a Summer Analyst at Goldman Sachs. In 2021, Piyush joined Bicycle as a Software Engineer, where they contributed to the development of the data collection team and implemented dynamic scaling of various source connectors. Piyush later joined Jio as a Software Engineer, where they completed a software engineering boot camp and received recognition for exceptional performance. In 2022, Piyush returned to Bicycle as a Software Engineer II.
Piyush Moolchandani obtained their Bachelor of Technology - BTech degree in Computer Science from the Indian Institute of Information Technology Nagpur. Piyush attended the institution from 2017 to 2021. Additionally, they have acquired several certifications in various subjects, such as Full Stack Web Development with Flask, Git Essential Training: The Basics, MySQL Essential Training, Data Structure and Algorithms using Java, Java Programming: Arrays, Lists, and Structured Data, Java Programming: Solving Problems with Software, Spring Framework: Creating Your First Spring Boot Application, Sequence Models by deeplearning.ai, Machine Learning Engineer Nanodegree, and CutShort Certified Python - Advanced. These certifications were obtained between the years 2019 and 2021 from institutions including LinkedIn, NPTEL, Duke University, Coursera, Pluralsight, and Udacity.
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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