💡 About Me
I'm a data science student with a background in business operations, people management, and workforce management. Currently transitioning into the the world of data and tech, I combine leadership experience with hands-on skills in Python, cloud platforms, machine learning, AI, analysis, and data visualization. Passionate about building data-driven solutions that make real-world impact.
Tools: Streamlit, Met.no API, Open-Meteo A real-time weather app for Norway with 10-day forecast, sunrise/sunset tracking, and a mobile-friendly UI. Built with a focus on accessibility, dark/light themes, and seamless deployment.
Tools: Python, Pandas, Matplotlib
Analyzed 100+ years of climate data. Visualized temperature anomalies, sea-level rise, and CO₂ emissions to support climate research.
Tools: Python, Pandas, Matplotlib, Seaborn, Statsmodels
Performed a multi-factor statistical analysis on Southern Norway’s electricity market using economic, environmental, and hydropower data. Identified correlations, seasonal patterns, and market reliability shifts to inform pricing strategies and energy planning.
Tools: S3, Lambda, EC2
Explored cloud-based ETL pipelines using AWS services to transform and store data at scale.
Tools: MongoDB, Jupyter
Demonstrated NoSQL operations including document queries, CRUD functionality, and optimization strategies.
Tools: AWS, Shell
Captured technical learnings and deployment strategies from industry-led workshops using Humanitec.
Tools: Jupyter, Scikit-learn
Trained classification and regression models. Completed labs on feature engineering and model evaluation.
- IBM Data Analytics – Capstone Project
- Python for AI & Data Science (IBM)
- AWS Certified Cloud Practitioner
- NVIDIA Fundamentals of Deep Learning
- Microsoft Azure Fundamentals
- 📩 Email: grelagmabi@outlook.com
“The best way to learn is by building. I’m passionate about solving problems through data and technology.”