In charge of administration, maintenance and evolution of a reporting application under SAS WRS. I am also accountable of the technical evolution of the platform (software update, sizing of servers, and relationship with the editor).
SAS, WRS, Cube Olap, MDX, Infomap, Management console, UnixIn charge of our SAS data lab, my missions are to develop the data lab tools and to create POC (proof of concept) for our customers:
- POC Petrol: Visualizations and predictions of the price of petrol in France (Time series).
- Fraud Detection: Real Time Blue Credit card Detection (random forest)
- Image Detection: Image Classification (neutral network)
As member of the Analytics Business Unit, I work as technical referent on SAS projects, I also participate in the development of the BU by creating new offers, training newcomers and participating in recruitment.
Member of Analytics Teams, I was in charge of statistical studies on savings products:
- Customer studies (loyalty program effect), customer behavior (lifetime value,..) and financial analysis (clients margin)
- Define & extract the targets for savings marketing campaigns (sas programmation)
- Analysis of the outcome of the campaigns (return rate, return of investment, control group)
- Development statiscals Models : churn (rare event logistic regression), palatability score and segmentations (RFM, event driven)
STATISTICAL STUDIES OFFICER – RAJA (B2B office supply) ( 1 year)
- Maintenance and evolution of the prospection database (sas programmation)
- Define & extract the targets for prospections marketing campaigns
- Analysis of the outcome of the campaigns (return rate, impact of commercial pressure on churn rate, multichannel analysis and optimization)
- Development of palatability (logistic regression) and value score (descision tree, , basket analysis)
- Follow-up of the prospecting budget
Responsible of SAS banking reporting applications
- Administration, maintenance and evolution of the application
- Development of a new fraud detection application including business rules and statistical model (logistic regression)
- Technical migration from SAS 9.1 to SAS 9.3 (framing, load estimation, test plan, migration (stored process programs and metadata, users, libraries))
- Creating and automating SAS dashboard
- Marketing studies (customer behavior, average Revenue Per User )
- Targeting campaign (sas programmation) and analysis of return (return rate, AB testing and optimization)
Member of CRM team, I was in charge of savings campaigns under Neolane
- Define & extract targets for marketing campaigns with néolane
- Analysis campaigns performance (multichannel analysis, return rate, return of investment)
- User assistance for campaigns personalization
- Automating campaigns (birthday, newsletter)
- Analysis of campaign returns (return rate)
- Write a plan test to compare the results of extraction campaign ( SAS vs Unica)
- Training users at Unica
- Customer profiles (buying behavior, cross sell, retention analysis)
- Programming SAS macros
- Modeling sales curves and client segmentation (time series analysis, RFM)