Christophe Kabacinski

– SAS Coach for business users working both in Non-Life insurance and Life insurance – Datamart creation for both life and non-Life departments (ETL + monitoring and automatic documentation) – Business report development & dashboarding (Non-life) – Mathematical reserves calculation & automation (Life)

LLM & API Platform – Developed an API to manage and store LLM prompt contexts (personas, output formats ....) – Supported multiple LLM providers (OpenAI, Mistral, local models) which can be run simultaneously and output LLM or Vector DB outputs – Enabled API usage from Excel, SAS, Python and Web UI ; logged all API calls – Containerized and deployed on a NAS server Data Analytics Dashboards – Built dashboards to visualize invoices, stock portfolios, job market trends, and website traffic – Integrated external data sources (Yahoo Finance, Google Analytics, Excel, LLM, HTTP call) – Produced time-based statistics and interactive visualizations – Containerized and deployed on a NAS server Energy Monitoring Web Application – Developed a Django web app to track energy consumption and production (gas, water, electricity) – Implemented data ingestion via Django REST API and database storage – Packaged applications into multiple Docker containers and orchestrated with Kubernetes WebMaster – Creation and update of the company website – Creation of the backoffice (with planning and invoice managment)

EMEA Expert in the SAS Anti-Money Laundering Solution and the SAS Enterprise Case Management Solution (SAS AML- SAS ECM): – Project estimations and proposals – Mentor and assistance to various projects – Analysis of technical feasibilities and advices – Technical and business training

Expert in Data Mining: – Application of Data Mining technics in the context of the fraud detection and reduction of false positives – optimization of a fraud detection model at BNP Paribas Fortis Belgium Expert in the SAS Enterprise Case Management (SAS ECM): – Implementation of the solution in the context of real-time fraud detection – Various presentations and pre sales demo Expert in the SAS Anti-Money Laundering Solution (SAS AML) this include the following: – DataMart and ETL adaptation for customer need (Base SAS/Data Integration Studio) – Customization of the User Interface, Alert Generation Process and Routing rules – Development of new scenarios logic and risk factors – Optimization of the ETL and improvement of the fuzzy logic – Participating in the development of the FATCA/AEOI solution – Technical training in Belgium – Various presentations and pre sales demo – Technical support Implementation and migration of the solution in Banks and in Insurance across Europe: – Anti-Money Laundering migration from 5.1 to 6.3 at ERGO Insurance Belgium – Implementation of High-Performance Anti-Money Laundering 6.3 at Société Générale Private Banking France – Implementation of Anti-Money Laundering 5.1 at ERGO Insurance Belgium – Migration from Anti-Money Laundering 2.1 to 5.1 at Argenta Bank Belgium – Implementation of Anti-Money Laundering 5.2 at AG2R- La Mondiale France – Migration from Anti-Money Laundering 1.4 to 4.2 at CRELAN Belgium – Implementation of Enterprise Case Managment 6.1 at BNP Paribas Fortis Belgium

As a training consultant in Business Analytics, I teached various courses in Base SAS, SAS Business Intelligence and in SAS Analytics. Training courses teached during this period (in V9) in the SAS Training Department (Qfor certified): – SAS Programming/Macro language: Prog 1&2&3; SQL; Macro 1&2; Stored Processes – SAS Business Intelligence: SAS Eguide 1&2, SAS Web Report Studio, SAS Information Delivery Portal, SAS Information Map Studio, SAS BI Dashboard, VA. – SAS Analytics: Descriptive statistics, Hypothesis testing, ANOVA, Regression & Logistic Regression (using SAS/STAT or Eguide); JMP Pro, SAS Enterprise Miner. Creation of the course evaluation's web site.