π Hi, Iβm @allyssonmacedo
π Iβm interested in Python, SQL, R, ECL, RPA, PowerBI
π± Iβm currently a Data Analyst
ποΈ Iβm looking to collaborate on Data Science/Engineering Projects
π« How to reach me
/ / [email protected]
The repositories are classified according to type and stages of development describe below. To avoid a large amount of git repo, they were grouped in sections [Folders] and inside them, it can be found small end-to-end projects.
βββ Type
βΒ Β βββ pb <- Projects Brainstorming with several sources
βΒ Β βββ ap <- Custom Aplications with scrips, data science, business intelligence and applied knowledge.
βΒ Β βββ fk <- Forked repository of any kind.
βΒ Β βββ saas <- SAAS systems [private/collaborative]
βββ Stages
βΒ Β βββ dev <- Development projects (end-to-end)
βΒ Β βββ prd <- Production projects with deploy
β βββ std <- Study projects with different sources [Private]
βββ Folders
βΒ Β βββ ds <- Data Science projects with data, reports, analysis and modeling.
βΒ Β βββ bi <- Business Intelligence projects with data, dashboards, analysis.
βΒ Β βββ sc <- Source Code mainly scrips and algorithms.
Want to more about my repositories? Take a look inside them and see the READ.me file.
Commits track
βββ feat: New features, something that didn't exist.
βββ fix: Bug fixes.
βββ docs: Changes in documentation files.
βββ style: Changes in styles, formatation or design.
βββ refactor: Changes in the application, but not for the final user.
βββ perf: Changes that impact the performance
βββ test: Create or modify tests.
βββ chore: Modifications in configs, build, CI/CD, etc