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Manager @ SBI | Multi-cloud (AWS, GCP, OCI) | CI/CD | IaC | GitOps | Docker | Kubernetes | Terraform | Ansible | Jenkins | ELK
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Assessing your cultural and operational fit
State Bank of India
Data Scientist
June 14, 2026 – Present
genai-foundation-hands-on
April 7, 2026 – Present
this is the hands-on record of the course on the genai-foundation course.
View Projectoci-terraform-iac
May 14, 2025 – May 14, 2025
this is a repository for creating the OCI resources.
View Projectrepo_cleaner
February 12, 2025 – February 12, 2025
repo_cleaner is used to clean the stale branches and repos on the GitHub.
View Projectmy-ansible-learning
December 22, 2021 – December 22, 2021
this is a repository created for learning the self ansible learning
View Projectcorejavaprojpractice
December 8, 2019 – December 8, 2019
corejavaprojpractice — GitHub repository
View Projectgitdemo
November 11, 2019 – November 11, 2019
this is another example for the git demo using oreilly learning.
View ProjectExploreCalifornia
June 8, 2019 – June 19, 2019
this is a springboot projet based on the RESTful API for the explore California as use case.
View Projecttcs-fresco-springboot
May 20, 2019 – May 20, 2019
this is the project for the fresco Springboot HandsOn exercise.
View ProjectRetailbanking
October 27, 2018 – October 27, 2018
A complete Java EE project based on a use case of Retail Banking by our group
View ProjectCultural Fit Analysis
The candidate's projects show a mix of Java-based development, Python scripting, and some DevOps-related learning (Ansible, Terraform, Git). While there's a direct Data Scientist role listed, the project portfolio is quite diverse and not exclusively focused on data science. This breadth could indicate adaptability but also a lack of deep specialization in data science specific projects. The 'genai-foundation-hands-on' project is a positive indicator for cultural fit within a data-driven organization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a single work experience entry without detailed descriptions of collaboration, problem-solving, or communication in a team setting.