Rishabh Singh
About Rishabh Singh
Rishabh Singh is a Big Data and Cloud Engineer with expertise in data mining and analytics. He has experience working in various roles, including as a Data Analyst and holds a Bachelor of Technology in Electrical Engineering.
Work at USEReady
Rishabh Singh has been employed at USEReady since 2020, serving as a Big Data and Cloud Engineer. In this role, he focuses on leveraging big data technologies to optimize cloud solutions and enhance data processing capabilities. His tenure at USEReady has allowed him to apply his skills in data analytics and cloud engineering to various projects, contributing to the company's objectives in the data management sector.
Previous Experience in Data Analytics
Before joining USEReady, Rishabh Singh worked at Rawmind Analytics as a Data Analyst from 2019 to 2020. During this time, he gained valuable experience in data analysis and worked on supply chain optimization for a major multinational retailer. His role involved applying data mining techniques to derive insights that informed business decisions.
Internship at Uttar Pradesh Power Corporation Limited
In 2016, Rishabh Singh completed a one-month internship at Uttar Pradesh Power Corporation Limited in Noida, India. This experience provided him with an introduction to the energy sector and practical exposure to the application of engineering principles in a corporate environment.
Education and Expertise
Rishabh Singh holds a Bachelor of Technology (BTech) degree in Electrical Engineering from the Institute of Engineering and Technology. He possesses skills in text mining and data mining techniques, along with expertise in both supervised and unsupervised machine learning algorithms. Additionally, he holds a NASSCOM certification in Data Analytics and Machine Learning, further solidifying his foundation in data-driven methodologies.
Career Aspirations
Rishabh Singh aims to leverage his skills in data analytics and machine learning to transition into a Data Analyst or Data Scientist role. His background in big data and cloud engineering, combined with his analytical skills, positions him well for future opportunities in the field of data science.