Demo of various skills a data/back-end/dev-ops engineer should possess.
Demonstrated skills:
- setup a data-science environment/jupyter lab
- build, document and deploy a ML model REST api on AWS using Elastic Beanstalk, docker, cloudflare DNS
- setup an interactive demo environment using binder
- extract data using requests, curl
- test data and code using unittest
- wrangle data using pandas, geopandas and numpy
- visualize data using folium interactive maps
- write pep8 compliant Python code
- write documentation
- code versioning using git and github