💻 Code Artisan | ⚙️ Simplicity Matters | 🔍 Clean by Default | 🤖 Quiet Builder | ♻️ Leave It Better
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sabi
Data Scientist
June 19, 2026 – Present
heimdall
June 19, 2025 – Present
🛡️ Heimdall: The all-seeing guardian of data analytics. AI-first platform built from scratch to revolutionize how we analyze and understand data.
View Projectnx-workspace-tutorial
March 18, 2025 – March 19, 2025
Nx Workspace Guide(v20): Next.js + React Component Library + ShadCN Integration + Tailwindcss (v4)
View Projectshare-itinerary-frontend
August 17, 2024 – October 11, 2024
Repository for the frontend code of the ShareItinerary Project
View Projectmicroservices
September 16, 2023 – September 16, 2023
Lightweight Node.js microservices framework with custom Proxy, Circuit Breaker, Service Registry, and Versioning—all built from scratch, no external libraries. Designed for full control over scalability and resilience.
View ProjectMongoDB-Sharded-Cluster
February 1, 2023 – February 2, 2023
The Project Provides utilities to perform Sharding on MongoDB Database on Single Machine.
View ProjectGit
August 17, 2022 – April 19, 2025
A concise and practical guide to mastering Git, covering essential commands, workflows, and best practices for version control and collaboration. Perfect for developers of all skill levels.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of technologies, including web development (JavaScript, HTML, CSS), backend services (Node.js, Java, Go, Python), and some data-related tools (MongoDB, Jupyter Notebook). While there's a current role as a Data Scientist, the personal projects lean heavily towards general software development rather than specialized data science or machine learning applications. This broad interest might indicate adaptability but also a potential lack of deep focus on data science specific challenges in personal work. The 'HackUTD-EogResources' project, while for a hackathon, includes Python and Jupyter Notebook, which aligns with the target role. The 'heimdall' project description mentions an 'AI-first platform' for data analytics, which is highly relevant, but the listed technologies (Go, Shell, Makefile, PL/pgSQL) suggest more of a system/infrastructure focus rather than direct data science modeling. The overall project diversity is good, but the direct alignment with advanced data science techniques is not strongly evident from the project descriptions alone.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.