Mohamed MEJDOUBI

– Spearheading advanced analytics initiatives across a multi-country transformative projects portfolio to accelerate revenue growth and optimize execution excellence. key focus areas : – building modern customer data platform leveraging cloud technologies to achieve a true customers 360 view. – Enhancing route-to-market strategies through predictive modeling and geospatial analytics. – Driving customer segmentation and targeted promotions initiatives leveraging ML techniques. – Developing executive dashboards for agile decision-making across markets. Technical stack: Microsoft SQL server, Microsoft azure, azure databricks, powerBI

1/ Big data transformation project : – Hiring & coaching internal data science team data science stream lead (agile mode): use cases methodology definition, technical implementation, delivery of six customer analytics oriented use cases : churn prediction, customer lifetime calculation, graph based social networks analytics, lifestyle segmentation using spartio-temporal features extraction framework. – Active contribution in all phases of the project: infrastructure setup, data lake design, use case implementation. Technical stack: Cloudera data platform, pyspark / Python / Hive / impala / Spark MLlib / ML Flow 2/ Customers Knowledge initiatives – providing customer insights & business support for B2C marketing & commercial teams on a daily basis, leveraging advanced analytics & machine learning techniques: multi layered customer segmentation, predictive modeling projects Technical stacks : SAS Guide, SAS Miner, Oracle database

Strategic Marketing initiatives (energies 2020 retail bank strategic plan): Retail bank business model disruption through: – A brand new data-driven customer segmentation based on actual value, futur potential value Campaign optimization: using next-best-action approach to recommend best products to push to branch, based on a blend of propensity-to-buy predictive models, and trigger-based actions.

Comprehensive Customer Analytics intiatives & Data-driven insights across the customer lifecycle. 1) Strategic Mass Market segmentation : Developed two interrelated segmentation models for individuals & households in order to : – Create a deep customer knowledge base for Equipment, usages, attitudes and behavior for moroccan telecommunication market (national-wide survey) – Evaluate the potential market for an integrated operator. – Extrapolation of individual segmentation scheme to internal customer base based on CDR-derived attributes. 2) Partner with product managers providing analytical and quantitative methodology for lifecycle campaigns & marketing programs : Acquisition phase, cross-sell / up-sell, retention / winback via blend of segmentation, propensity to buy & churn scorecards. 4) Club INWI : reward program for prepaid customers : – Business case modeling: program eligibility rules, rewards cost-analysis – program impact analysis regarding revenues, churn reduction KPI 5) Customer lifetime value: Estimation of individual CLV to allow differentiation / ranking of customer base. 6) R&D : – synthetic control group construction using propensity score matching – Measure & segment prepaid customers base based on Promotion sensitivity behavior. 7) Analytical solutions deployment : – Analytical data sets creation – Implement descriptive / predictive models scoring code for in-database scoring (several millions customer records)

SUPPORT LAUNCH OF MOROCCO CREDIT BUREAU : – Data Specification for credit history information reporting from lenders Cross-validation data consistency checks, business rules Data Profiling & Quality analysis Business process modeling BUSINESS DEVELOPMENT POST-INCEPTION : Specfication, Design & implementation of Business Dashboards for day-to-day Activity Monitoring, automatic alerts Business Planning & revenues Forecasts. Credit Bureau Data reliability analysis & recommendations for improvement. Investigate Credit Bureau enrichment by integrating alternative data sources : utilities, telecom bills. Preparing business cases for future Value Added Products: Credit bureau Score, Collections Credit report, Machine-To-Machine API.

Conducted several Business Intelligence missions to design & implement Decision-support solutions for large national organizations : – Business requirements gathering – Solution architecture & Functional Specifications – DWH / Data Mart dimensional Modeling – Report / Cube creation Presales missions : BMCE: implementation of Internal Ratings-Based Approach (Basel II framework). BMCE: Consultation for choosing Direct Marketing targeting solution (KXEN). Maroc Factoring : Credit scoring for Loan origination. BI Stack: BusinessObjects XI R2, SAP Crystal Xcelsius, Oracle Database

2WLS is a provider of loyalty & CRM solutions (Maximiles group subsidiary) Animation of clients loyalty programs : – Card Holders behavior analysis : RFM segmentation, segment migration analysis – Loyalty program animation: Gift cards, personnalized emailing, SMS campaigns.

Graduation Project: Development of predictive model for attrition detection Personal Loans portfolio analysis Pre-accepted offers lists extraction Direct Marketing campaigns analysis Technical Environment: Oracle Database / IBM PASW Modeler