Jhankar Kulshrestha
About Jhankar Kulshrestha
Jhankar Kulshrestha is a Cloud Operations Engineer at Cvent in Gurgaon, India, where he has worked since 2019. He specializes in Big Data and Hadoop, and has authored a research paper on road traffic management using data mining algorithms.
Work at Cvent
Jhankar Kulshrestha has been employed at Cvent as a Cloud Operations Engineer since 2019. He has worked in this role for five years, contributing to cloud operations from the company's office in Gurgaon, India. His responsibilities include managing cloud infrastructure and ensuring operational efficiency within the organization.
Education and Expertise
Jhankar Kulshrestha earned a Bachelor of Technology (B.Tech) degree in Computer Science and Engineering with a focus on Business Analysis from Galgotias University. He studied there from 2015 to 2019. His academic background has provided him with a solid foundation in technology and analytical skills, which he has further developed in his professional career.
Technical Skills and Tools
Jhankar possesses expertise in Big Data and Hadoop technologies. He has hands-on experience with Hadoop Distributed File System (HDFS), Pig, and Hive, utilizing Google Cloud services for data management. He employs IBM Cognos 8.1 for creating business intelligence reports and uses Weka and Rapid Miner for data mining analysis. Additionally, he utilizes SPSS Modeller for statistical learning.
Research Contributions
Jhankar Kulshrestha prepared a research paper in IEEE format focused on 'Road Traffic Management Using Data Mining Algorithms.' This work reflects his interest in applying data mining techniques to real-world problems, showcasing his analytical capabilities and understanding of data-driven solutions.
Programming and Technical Knowledge
Jhankar has basic knowledge of programming languages including Python and C, as well as familiarity with Unix operating systems. This foundational knowledge supports his work in cloud operations and data analysis, enabling him to engage with various technologies effectively.