Amine Benjelloun

Co-Lead of a Customer Data Platform (CDP) in a Hadoop & Azure environment Designed the data model and architecture for inbound/outbound data flows (APIs, Events via Apache Nifi & Azure). Co-led a 6-person Data team and deployed real-time solutions: - Computation and real-time updates of customer eligibility for banking products. - Personalized notifications (mobile, SMS, email) and dynamic HTML recommendations. - Automated KPI extraction & monitoring, use case analysis, and optimization with Product Owners. - Credit score benchmarking to improve debt recovery rates. - NLP-based banking transaction categorization algorithm. - Notification optimization using a Multi-Armed Bandit approach. Results: Agile and flexible architecture, increased acquisition/engagement rates, improved customer quality, and Data team growth. Tech stack : Python, Apache Nifi, Azure (ADF, Event Hub, Service Bus, Logic App, API Management), HDFS, Hive, Snowflake, TypeScript, SQL, NLTK.

Integration from scratch of a Customer Data Platform and implementation of multiple use cases (personalized mobile app notifications, customer's eligibility to banking products, KPIs for data analysis...) Tech stack : Azure Virtual Network, EventHub, Cosmos, Logic App, HDFS, Hive, Nifi, Cloudera

Implementation of the Big Data architecture for a banking mobile application: - Maintained the API system for inbound and outbound data flows from the data lake. - Optimized and updated database structures. - Tested and compared two real-time data processing DBMS solutions. - Integrated a geolocation API to improve a scoring algorithm. Technologies: GCP, BigQuery, Pub/Sub, Flask, Pandas, Cloud SQL. Anticipation and collection of data needs across various departments of a neobank start-up: - Finance – Studied, tested, and analyzed two market-leading Business Intelligence solutions; modeled KPIs to simulate a business case; facilitated workshops and training on data visualization with the chosen tool. Technologies: Tableau, Google Data Studio, Excel, PowerPoint. Marketing – Developed a marketing strategy focused on targeted advertising and explored two major market solutions. Technologies: Google Ads, Google Analytics. Product Owners – Modeled metrics and business rules for functional calculations; tested and discussed a recommendation system and Kaggle competitions. Technologies: Kaggle, Scikit-learn.