Our Portfolio
Project Details
Type: Data Analytics
Title: Determining employee attendance using data from biometric clocking device
Tools: Microsoft PowerBI
Link: port-1.JPG
Description: The biometric clock in system that the client uses generates an excel sheet that is poorly formatted and difficult to analyze
The client wanted to be able to determine how many days each employee worked and how many hours of overtime each employee has worked in the past 31 days.
The dataset was cleaned and transformed using tidy data principles. The resulting tidy data was then saved as an excel sheet and used in building a dashboard.
![](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2022/07/Screenshot-208-1024x581.png)
Project Details
Type: Data Analytics
Title: Assessing The Public Discourse on E-Levy
Tools: Python, Streamlit
Link: https://huggingface.co/spaces/AyiteyDjaba/E-Levy
Description: Using public data from Twitter, this project analyzed 6,557 Tweets to determine public sentiment towards E-levy.
![Screenshot (215) Screenshot (215)](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2022/07/Screenshot-215.png)
![](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2022/07/Screenshot-218.png)
Project Details
Type: Data Analytics
Title: Development of PowerBI dashboard for The Africa Research in Sustainable Intensification for the Next Generation (Africa RISING)
Tools: PowerBI , Python
Link: http://aghub.miphost.com/main/dashboard#/
Description:
The Africa RISING Program comprises three regional research-in-development projects supported by the United States Agency for International Development as part of the US Government’s Feed the Future initiative. For over a decade, the organization has been collecting data on farming practices in the northen regions of Ghana.
Due to the complexity of the data collected, generating insights was always difficult. We were brought in to clean the data, feed it to a database and generate a dashboard for further analysis.
![](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2022/09/Screenshot-235-1024x434.png)
![](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2022/09/Screenshot-233-1024x438.png)
Project Details
Type: Data Analytics
Title: Ghana Customer Service Index (GCSI) 2023
Tools: PowerBI, Python
Link: http://www.ghanacsi.org/
Description:
A report on the state of Customer Service in Ghana by the Institute of Customer Service Professionals
![](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2023/01/GCSI-PICS-783x1024.jpeg)
![](https://apercu-consult-wordpress.apercu.top/wp-content/uploads/2023/01/GCSI-783x1024.jpeg)