Christian Noumsi

Christian Noumsi has a diverse work experience in the field of data science and analysis. Christian started their career as a Chargé d'études statistiques/Assistant Data Miner at Afriland First Bank in 2012. Christian then worked at EDF as an Assistant Ingénieur Chercheur, where they focused on statistical analysis of energy consumption and segmentation of establishments. In 2014, Christian joined Capgemini Consulting, first as a Data Scientist and later as a Senior Data Scientist. From 2017 to 2020, they served as a Lead Data Scientist at RCI Bank and Services. Currently, Christian is employed at Groupe BPCE as a Lead Data Scientist for the Inspection Générale department.

Christian Noumsi completed their education with the following degrees and certifications:

Education History:

- From 2006 to 2008, they studied L2 Informatique at Université de Yaoundé I.

- From 2008 to 2012, they pursued a degree in Ingénieur d'Application de la Statistique with a specialization in Systèmes d'Information et Statistique décisionnelle at Institut Sous-régional de Statistique et d'Economie Appliquée (ISSEA).

- In 2012, they obtained a Licence in Économie appliquée from Université Paris Dauphine - PSL.

- From 2012 to 2014, they attended ENSAI, where they earned a degree in Ingénieur Statisticien with a specialization in Data Science pour la connaissance client et le revenue management.

- In 2014, they participated in the SAS Spring Campus 2014 program to become a Data Scientist for customer intelligence.

Additional Certifications:

- In 2014, they obtained the SAS Certified Base Programmer for SAS 9 certification from Pearson VUE.

- In 2014, they achieved the SAS Statistical Business Analysis Using SAS 9: Regression and Modeling certification from Pearson VUE.

- In 2014, they also earned the SAS Certified Predictive Modeler Using SAS Enterprise Miner certification from Pearson VUE.

- In 2020, they completed various online courses on Coursera and obtained certificates in subjects such as Convolutional Neural Networks, Natural Language Processing in TensorFlow, and Sequence Models.

- In 2023, they gained an advanced level of proficiency in Python through a course on LinkedIn, although the exact month of completion is unknown.