About

Shaival Shah is an experienced programmer with a strong background in Python, web development tools, and machine learning. He is currently pursuing his Master of Science in Data Science at Northeastern University and working as a Graduate Teaching Assistant at Khoury College of Computer Sciences. With a passion for applying his knowledge to solve real-world problems, Shaival is actively seeking a summer internship opportunity with an organization of repute that can provide him with a challenging environment to enhance his skills and knowledge. He is confident in his abilities and believes that he can achieve anything he sets his mind to if given the chance. Shaival's primary interests lie in the fields of data science, machine learning, and data processing. He has worked as a Site Reliability Engineer at Crest Data Systems, proactively managing Splunk infrastructure deployed on AWS and GCP via tools like Terraform, Puppet, Jenkins, and Thruk. He has also catered to client requests, worked on IT environments like Scrum, JIRA, Confluence, Salesforce, Slack, and Zoom, and developed shell scripts for taking and uploading backups on S3 bucket based on the cloud provider of the stack. As a Software Development Intern at Crest Data Systems, Shaival worked actively in the DevOps Team to develop Terraform providers for Constellix, Cisco ACI, and Cisco MSO. He also learned how to code and work with tools like Puppet, Ansible, and Jenkins. Shaival's education history includes a Bachelor of Technology from Nirma University and his ongoing Master of Science from Northeastern University. His tech stack includes data science, SRE, Terraform, Python, ML, web, infra, Jenkins, AWS, Ansible, Puppet, Salesforce, GCP, software engineering, and DevOps. With 0.44 years of relevant experience, Shaival is a motivated and skilled professional who is eager to contribute to the industry and grow as a professional in the future.