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hackforla / data-science

The Hack For LA Data Science team is a Community of Practice within the LA brigade seeking to make analytical and machine learning services available to local communities and organizations.
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Create Template Issue for Data Science Experience Profile #80

Open akhaleghi opened 2 years ago

akhaleghi commented 2 years ago

Overview

The purpose of this issue template is to help assign team members to data science projects and allow them to understand what skills they can develop with each specific issue.

Action Items

Resources/Instructions

Discussion about this between Bonnie as Data Science PM on 08/22/2021 here, from start to around 3:30, and 5:00 to 6:00. PM Experience Profile Issue Template to be used as a guide Raw text of the template

akhaleghi commented 2 years ago

"I don't know where we left off on finding a base to start working on the experience profile with Ryan and Sophia. I found these on Indeed. These are not checklists but might inform them: Data Scientist Data Manager Data Analyst Data Architect"

From Bonnie's comment in issue 65 here

akhaleghi commented 2 years ago

Draft: Data Scientist Experience Profile

name: Data Scientist Experience Profile about: Track a data scientists's Hack for LA experience title: 'Experience Profile: [Your Name]' labels: 'feature: experience profile' assignees: ''

Overview

Fill in the following fields as you work on these items at Hack for LA. Add the link of the items you worked on in the list as examples.

Action Items

[ ] [Team onboarding process and document suggestions and improvements for their role (i.e. how can DS Wiki be improved to help with onboarding] [ ] [Template/Guide Creation] [ ] [Develop competency with GitHub and data science tools] [ ] [Work on a project using data science tools/technologies] [ ] List here i.e. python, R, SQL, mapillary, etc [ ] [Select and apply an algorithm to analyze a data set] [ ] [Use predictive modeling to develop an actionable recommendation for a stakeholder] [ ] [Create a data visualization for a stakeholder] [ ] [Write structured context documentation to summarize a data set] [ ] [Create documentation to support your project and add to Data Science WIKI] [ ] [Find a bug in another project (bug review)] [ ] [Fix a bug in your own or another project] [ ] [Make good issues (Reference - https://www.hackforla.org/guide-pages/github-issues)] [ ] [Create a presentation deck for a stakeholder] [ ] [Present findings to CoP and/or stakeholders] [ ] [Mentor new data scientists and/or analysts]

Resources/Instructions

akhaleghi commented 2 years ago

Draft: Data Analyst Experience Profile

name: Data Analyst Experience Profile about: Track a data analyst’s Hack for LA experience title: 'Experience Profile: [Your Name]' labels: 'feature: experience profile' assignees: ''

Overview

Fill in the following fields as you work on these items at Hack for LA. Add the link of the items you worked on in the list as examples.

Action Items

[ ] [Team onboarding process and document suggestions and improvements for their role (i.e. how can DS Wiki be improved to help with onboarding] [ ] [Template/Guide Creation] [ ] [Develop competency with GitHub and data science tools] [ ] [Data Analysis] [ ] [Data Visualization] [ ] [Create a dataset] [ ] [Cleaning/Preparing Data Sets]() [ ] [Write structured context documentation to summarize data sets] [ ] [WIKI (project documentation)] [ ] [Bug Fixes] [Make good issues (Reference - https://www.hackforla.org/guide-pages/github-issues)] [ ] [Presentation Deck] [ ] [Present findings to CoP and/or stakeholders] [ ] [Mentor new data scientists and/or analysts]

Resources/Instructions

ExperimentsInHonesty commented 2 months ago

@akhaleghi Please provide update

  1. Progress: "What is the current status of your project? What have you completed and what is left to do?"
  2. Blockers: "Difficulties or errors encountered."
  3. Availability: "How much time will you have this week to work on this issue?"
  4. ETA: "When do you expect this issue to be completed?"
  5. Pictures or links* (if necessary): "Add any pictures or links that will help illustrate what you are working on."