Charif - Consultant SAS

Expérience professionnelle

CONSULTANT SOLUTION – CGI (IT Solutions) 2015 – PRESENT
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.

SAS DATALAB OFFICER – internal mission for CGI (2016- now )
In 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)

Technical basis: SAS, SAS Viya , SAS ES, Python, Jupyter notebook , Linux

CONSULTANT SAS – COVEA (INSSUANRCE) (2017-now)
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).

Technical basis: SAS, WRS, Cube Olap, MDX, Infomap, Management console, Unix
CONSULTANT SAS – Société Générale (Bank) (mission : 1 year and a half)
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))

Technical basis: SAS, SAS Enterprise Guide, ZOS, JCL, JavaScript, Management console, Stored process

STATISTICAL STUDIES OFFICER – ING DIRECT (ONLINE BANK) 2013 – 2015
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)

Technical basis: SAS Guide, KXEN, Epiphany marketing

STATISTICAL STUDIES OFFICER– Soft computing (IT Solutions) 2010 – 2013
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

Technical basis: SAS Guide
STATISTICAL STUDIES OFFICER – Bouygues (Telecom B2B) ( 10 months)
- 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)

Technical basis: SAS, Teradata, Analytics Siebel

STATISTICAL STUDIES OFFICER – Groupama (bank) (8 months)
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)

Technical basis: NeolaneV5.1, SAS Guide

STATISTICAL STUDIES OFFICER – SFR (Telecom) (6 months)
Extraction of marketing campaign targets with SAS and Unica
- Analysis of campaign returns (return rate)
- Write a plan test to compare the results of extraction campaign ( SAS vs Unica)
- Training users at Unica

Technical basis: SAS, Unica

STUDENT DATAMINER – CLUB MEDITERANEE (TOUR OPERATOR) 2009 – 2010
- Customer profiles (buying behavior, cross sell, retention analysis)
- Programming SAS macros
- Modeling sales curves and client segmentation (time series analysis, RFM)

Technical basis: SAS, Unica

PERSONNAL PROJECTS
Creating an application for social networks Instagram to identify the real influencers of a product network
- Representation of the network with graph base
- Textual analysis
- Image processing
- Clustering

Technical basis: Neo4j, Python, Java