Mamadou Sow

Business Analyst, Data Scientist, I have worked on projects for major clients, particularly in the insurance, banking, and telecommunications sectors. Graduate of a Master 2 in Applied Statistics and Business Intelligence from the Sorbonne. My functional skills revolve around data protection (GDPR), marketing campaign management, creation of dashboards and KPIs, studies on payment default and fraud risk, production monitoring, user support, writing functional and technical specifications, writing strategies and acceptance test plans during version upgrades of tools, for example. Data Analyst by training, I have a dual IT/Business role, being an experienced developer in SAS, SQL, SHELL languages. I also worked with marketing campaign management tools like Unica, reporting tools like Business Object, and modeling tools like KXEN (SAP), Miner (SAS), Power AMC, or yed Graph Editor.

In terms of regulation, I worked as a developer on projects such as MIF2 (European regulation of financial instruments markets), GDPR (personal data protection), the bank account file (FICOBA), and the life insurance contract file (FICOVIE). With a certain appetite for data, I have implemented automation, integration, and evolutionary correction processes to ensure their consistency and quality.

Statistician and computer scientist by training, I conducted studies on payment default and fraud risk. As a statistical study manager within Orange's scoring unit, in the customer anticipation and knowledge department, I master many data exploration techniques. My added value is the intelligence I bring to project management and my open-mindedness regarding different business areas.