Computer Science and Engineering Student , Modern Technology Explorer, Technical Content Writer.
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GCETTB
Data Scientist
June 24, 2026 – Present
ci-cd-aws-developer-tools-tf
August 30, 2022 – August 31, 2022
Complete workflow to run Terraform code inside AWS CodeBuild Project using CodePipeline, S3, IAM & CodeCommit.
View Projectdocker-k8s-webapp
August 23, 2021 – August 30, 2021
An interactive WebApp which can take users input & can communicate with backend Docker & Kubernetes Setup to perform certain tasks.
View ProjectK8s-Multi-Node-Cluster-on-Multi-Cloud-using-Terraform-Ansible
August 4, 2021 – August 30, 2021
Setting up Kubernetes Multi Node Cluster on Multi Cloud (AWS. Azure & GCP) using Ansible & Terraform Automation Scripting.
View ProjectKubernetes-Multi-Node-AWS-Ansible
April 15, 2021 – April 15, 2021
Deploying Kubernetes Multi Node Cluster on AWS Cloud using Ansible Role Automation.
View ProjectAWS_Terraform_Integration
June 16, 2020 – August 30, 2021
Creation of EC2 Instance, EBS, Security Group, Key-pair, S3 bucket, Cloudfront, Snapshot etc. in AWS, using Terraform Automation Scripting.
View ProjectIntegration_of_CNN_with_DevOps-MLOps_Training
May 26, 2020 – August 30, 2021
In this project I implemented a CNN model integrating git, jenkins and docker which do the model tuning automatically.
View ProjectTransfer_Learning_on_VGG16-MLOps_Training
May 19, 2020 – August 30, 2021
Rather than implementing your own Machine Learning model, It's better to use Transfer Learning on Powerful pre-created models.
View ProjectDevOps_Home_Work2
May 15, 2020 – August 30, 2021
Implementation of Jenkins inside Docker Container and performing CI/CD pipeline with Testing and Sending Email to Developer using Git, Jenkins and Docker.
View ProjectDevOps_Home_Work
May 6, 2020 – August 30, 2021
Implementation of an end to end CI/CD pipeline automation using git, jenkins and docker.
View ProjectIIEC_Docker_Project_on_Joomla
April 24, 2020 – November 2, 2020
In this project we gonna see how to create one docker compose file to deploy two containers - one is front-end application Joomla, another is backend server MySQL.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards DevOps and MLOps practices, which could indicate a proactive and automation-focused mindset. However, the target role is 'Data Scientist', and while MLOps is relevant, the majority of projects lean heavily into infrastructure and CI/CD rather than core data science methodologies (e.g., advanced statistical modeling, data analysis, machine learning algorithm development beyond basic CNN/transfer learning application). This suggests a potential mismatch with a pure Data Scientist role, but could be a strong fit for an MLOps Engineer or Data Science Engineer role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects.