Overview

Partner:	Sindbad Mentoring for Youth Austria
Goal:	Automation of Sindbad’s quality management process
Skills:	* Data analysis, visualization, reporting, and automation in Python
Team:	* 1 team member (passionate about Data Science)
Project Start:	End of January 2025
Project End:	End of May 2025
Location:	Remote
Project Language:	Sindbad e.V. operates in German. Therefore, German language skills at a level where you can follow a meeting without difficulty (approx. B2) are required.
Application:	Open now: here
Resources:	Link to CorrelAid Data4Good Documentation

Project Description

Project Goals and Content

The goal of the project is to automate the evaluation process of Sindbad’s quality management. The aim is to prepare the information collected via questionnaires in a suitable and efficient manner.

The current process is as follows: Currently, data collection is done via Tally, with the end product being a Google Sheet per location and target group (2 per location, 8 locations). The responses are then manually copied and cleaned on a specific date (e.g., removing duplicates). Subsequently, two CSV files are exported—one for mentors, one for mentees. The data from these CSV files is then aggregated and inserted into diagrams in a Google Presentation.

This process is to be simplified and redesigned so that Sindbad can make changes to the evaluation logic or the design of the diagrams.

Data

The data used consists of structured data collected with the survey tool Tally. The end product is a Google Sheet per location and target group (2 per location, 8 locations). The responses are then manually copied into a master list on a specific date and cleaned (e.g., duplicates removed). Subsequently, two CSV files are exported—one for mentors, one for mentees.

Social Impact

For ongoing quality assurance—such as how mentors and mentees are doing and what the teams still need from Sindbad—the data from the mentoring team updates is of essential importance. However, the current evaluation of this data is very resource-intensive. Redesigning the evaluation process is part of the goal to have 10,000 participants in the program by 2026. Only by further simplifying and automating these internal processes can Sindbad continue to support more mentor/mentee teams with the same high quality. This project makes an important contribution to this goal.

Your Application

CorrelAid projects offer you the opportunity to use and further develop your skills and potential for the common good as part of a team. Here, you can acquire new skills, develop and test innovative solutions, and expand your horizons. For the application and participation, you should above all have a strong enthusiasm for automated reporting, visualization, and data wrangling to ensure a practical implementation that can be used long-term.

Here is some additional information about the project:

Time Commitment

• Approx. 4–6 hours per week

Motivation and (Learning) Experience

• Interest in developing a long-term solution in dialogue with Sindbad employees
• Experience in automated data preprocessing and visualization with Python
• Enthusiasm for the clear presentation and explanation of data and analyses
• Optional: Experience with Tally or Google Workspace
• Basic understanding of Git workflows (pull, commit, push) or willingness to learn

Open Team Positions

• 1 team member (passionate about Data Science)

Application Link

APPLY HERE

Timeline

• Applications open now
• Project work: until end of May 2025