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AWS-First-Cloud-Journey
Data Scientist
June 22, 2026 – Present
workload-identity-federation-guide
March 29, 2026 – Present
AWS to Google Cloud: Workload Identity Federation - Keyless cross-cloud authentication guide with architecture diagrams and verified examples
View Projectaws-iam-access-key-auto-rotation
February 1, 2026 – Present
🔑 AWS IAM Access Key Auto-Rotation — Automated key rotation with Lambda, SNS notifications, and compliance tracking
View Projectn8n-on-aws-eks
October 19, 2025 – Present
⚡ n8n on AWS EKS — Deploy n8n workflow automation on Amazon EKS
View Projectaws-community-event-handbook
August 23, 2025 – Present
📚 AWS community event management best practices - Complete handbook for organizing large-scale tech events (1,500+ attendees)
View Projectaws-free-tier-optimization-guide
August 9, 2025 – Present
💰 Maximize AWS Free Tier benefits - Complete cost optimization guide for startups and learners with practical examples
View ProjectAWS-FIRST-CLOUD-JOURNEY
October 22, 2024 – November 5, 2024
Hi everyone, Thank you for your interest in learning about Amazon Web Services cloud computing technology. Together we will explore and experience awesome technologies and exciting services, experiment with migrating applications to the cloud and apply best practices to improvement your systems.
View ProjectAWS-First-GenAI-Journey
October 16, 2024 – Present
Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).
View Projectaws-first-cloud-journey
October 10, 2024 – Present
🚀 Complete AWS learning path for beginners - 45K+ community resource with hands-on labs, workshops, and certification guides
View Projectaws-amplify-learning-notes
March 24, 2023 – Present
📝 AWS Amplify Learning Notes — Hands-on notes and examples for learning AWS Amplify
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AWS infrastructure and operations, with some exposure to Generative AI. While the target role is 'Data Scientist', the projects primarily showcase cloud engineering and DevOps-adjacent skills rather than core data science methodologies (e.g., advanced statistical modeling, machine learning algorithm development, data pipeline orchestration beyond basic scripting, data visualization, or big data processing frameworks). This indicates a potential mismatch with the typical responsibilities of a Data Scientist role, suggesting a stronger fit for a Cloud Engineer or MLOps Engineer position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a proactive learning approach and a focus on practical AWS implementations.