CCAssist

Introduction:
- Let me give you a quick overview of using this app for Calling Campaigns. Briefly speaking, this is a Python based command line application that uses the Pandas library and a lot of personalized object oriented interface code so that it works with almost all kinds of excel files generated by Slate queries. The main purpose of this application is to:
  - Automate filtering through Excel Files
  - Split and Combine Excel Files together
  - Be a better tool for assisting the GAs in Calling Campaigns
  - And optimize the Calling Campaign process at the Office of Graduate Admissions to reduce manual data handling tasks.
- The ‘behind the scenes’ part of the application consists of 5 feature programs that are independent of each other and serve their own purpose. The five feature programs in the application are:
  - International Student Data Filters
  - Domestic Student Data Filters
  - Split Excel Data File
  - Combine Excel Files
  - Calling Campaign Assist for GAs
- I will walk you through each of the feature programs along with some application snapshots to help you use the application effectively.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__pycache__		__pycache__
documentation		documentation
imgs		imgs
.gitignore		.gitignore
README.md		README.md
app.exe		app.exe
app.py		app.py
concat_data.py		concat_data.py
contacts.txt		contacts.txt
domestic_workflow.py		domestic_workflow.py
email_updates.py		email_updates.py
ga_assist.py		ga_assist.py
international_workflow.py		international_workflow.py
models.py		models.py
split_data.py		split_data.py
utils.py		utils.py

msalvi96/CCAssist