- Self taught data science/analyst/engineer.
- Data analysis experience.
- MEng Mechanical Engineering Graduate 2021.
- Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Beautifulsoup, Selenium, Streamlit).
- SQL (TSQL, Data Warehouse, Data Architecture, ETL).
- Data Visualization (PowerBI, Tableau).
- Azure Fundamentals AZ-900, Storage, Synpase Analytics, Data Lakes, VM, ML Studio, AKS, ACR.
- Terraform.
- Docker Containers.
- Kubernetes
- Linux.
- Git.
- Apache Airflow and Spark.
- Jenkins.
- HTML/CSS.
- React and Django beginner.
- APIs
- Unit Testing
These are the projects that I have put on my CV. You can check them out by clicking on the links or by checking out my portfolio website, which summarises all the projects.
DevOps:
Data:
- Data Engineering Zoom Camp: Cloud-based ETL Pipeline
- QA Final Project: Data Warehousing for Business Intelligence Reporting
- Regression and Classification Machine Learning Models on NBA Data:
- COVID-19 ETL Pipeline for Analysis and Tracking
- Check out my data repository
Additional skills
Cloud:
- Azure DevOps
- Azure Web App and Blob Storage Web Hosting
- AWS S3
Data:
- Databricks
- Data Modelling
General:
- TDD