We built APIs to share insights from code bases. Some insights could be the detected anti-patterns like copy-pasted code, or some metrics like the lengths ot the classes and methods. We also had developpers individual contributions as insights. The goal was to have all those insights on the same dashboard, but also accessible by other application through our API

The human resources management software of Sopra is used by many companies (mainly in Africa) to manage all aspects or HRs (enrollement, family, hollidays, payroll...). It is highly configurable, extensible and customizable, with a lot of customer-specific modules.

The dayly workers payment module has been integrated to the human resources software to mange the case of workers who were enrolled and paid daily. The software had to compute their payment based not only on the worked hours, but alse taking into account the working context (was it raining? Did they work in day or in night? Did they work on a boat?)

The biometric module has been introduced to the human resources software to track the working hours using biometric devices and compute the salaries accordingly. 

The transit management system was used to track the good reaching the port of Douala in destination to other countries, using GPS to avoid any fraud.

Orange Cameroon neede a new clustering model of thier customers based not only on their expanses, but also on their usage behaviour like how often and to who theiy are sending SMS and calls. 

•I ran the data wrangling process against OpenstreetMaps Data related to the city of Douala in Cameroon. I used the OpenstreetMaps documentation to validate the keys and values in the dataset. I then audited values and fixed the streets names to structure them with name, number and alias before loading the data into a MongoDb database, ready for analysis.
•Used python and MongoDb