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CloudYuga Technologies
Data Scientist
June 17, 2026 – Present
k8s-cluster-kubeadm-terraform-ansible
January 5, 2024 – January 10, 2024
Create the K8s Cluster using Terraform and Ansible on AWS
View ProjectJenkins-demo
November 14, 2022 – April 22, 2023
To push nodejs docker image with the help of Jenkins pipeline for CloudYuga Cloud-Engineer Bootcamp
View Projectdocusaurus-2-CY-Bootcamp
September 23, 2022 – September 23, 2022
docusaurus-2-CY-Bootcamp — GitHub repository
View Projectkyverno-policies
May 24, 2022 – May 24, 2022
To discuss various Kyverno policies which are in doubts.
View Projectml-ops-cml
December 7, 2021 – December 7, 2021
To automate a machine learning model with the help of CML (Continuous Machine Learning) with GitHub Actions.
View ProjectHelm-Chart
November 9, 2021 – November 9, 2021
To create a helm chart repository and hosting it with the help of GitHub pages.
View ProjectGitCommands
July 20, 2021 – July 20, 2021
This repository contains some useful Git commands that every developer uses daily for their work while working with git and open- source
View ProjectHackerRank
June 12, 2021 – June 12, 2021
Solutions on different types of problems of HackerRank in different programming languages .
View ProjectMovie-Recommendation-Sentiment-Analysis
February 14, 2021 – February 14, 2021
Movie-Recommendation-Sentiment-Analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards DevOps and MLOps, with several projects focused on infrastructure and automation (Jenkins, Docker, Kubernetes, Terraform, Ansible, CML). While these skills are valuable, the direct alignment with a pure 'Data Scientist' role, which typically emphasizes statistical modeling, machine learning algorithms, and data analysis, is moderate. The candidate's current role is listed as 'Data Scientist' at CloudYuga Technologies, but without further details on responsibilities, it's hard to gauge the depth of their data science experience. The project diversity is good, but the focus leans more towards engineering than core data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.