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Passionate Learner 🚀 Data Center Tech @aws ☁️ Carving paths to become a Cloud Solutions Architect 💻 Contributing to GitHub 🌐
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AWS
Data Scientist
June 24, 2026 – Present
amplify-vite-react-template
September 5, 2024 – September 5, 2024
My Amplify Gen 2 starter application
View ProjectDataSciencePortfolio
April 5, 2024 – June 30, 2024
DataSciencePortfolio is a showcase of my data analysis and machine learning projects, highlighting my skills in deriving insights from data to solve complex problems. Explore my journey in using Python, R, and various tools to unlock actionable knowledge.
View ProjectMachine-Learning-Resources-
December 22, 2023 – May 4, 2024
Welcome to the Machine Learning Resources repository! This space is dedicated to providing valuable and practical resources for machine learning enthusiasts, and practitioners. Here, you will find a collection of projects, datasets, notebooks, and educational materials designed to help you understand and apply machine learning techniques.
View ProjectCalorie-Tracker-CLI-app-flatiron-phase-3-project
August 27, 2023 – September 29, 2023
A python command line project- Flatiron Phase 3- Calorie Tracker
View ProjectJoy-Production-web-site
August 9, 2023 – December 26, 2023
Joy-Production-web-site — repository
View ProjectExpense-Tracker-Phase-2-Project
June 19, 2023 – July 8, 2023
Expense-Tracker-Phase-2-Project
View ProjectPhase-1-project-Nationality-Predictor
May 4, 2023 – May 15, 2023
Nationality Predictor is a simple web app that predicts nationality .
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, indicating a self-starter attitude and broad interests. However, the listed experience shows a current role as 'Data Scientist' at AWS starting in 2026, which is in the future and suggests an aspirational or placeholder entry rather than actual professional experience. This makes it difficult to assess cultural fit based on real-world collaboration or professional project diversity. The 'experienceLevel' is 0, contradicting the future 'Data Scientist' role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.