Catalin B. Email & Phone Number

Bucharest, Romania

Bucharest, Romania

ML models Development (GBMs, Clustering, AutoML, etc.) and Advanced AI Initiatives:– operationalized ML-driven propensity models, enhancing targeted marketing effectiveness;– developed advanced retail churn prediction models, improving customer retention strategies;– engineered log transformation system for credit operations;Propose, Test & Maintain end-to-end Open Source (JHub, Mlflow, Airflow, Superset) AA/ML in-house Platform solution:– built cost-effective, scalable analytics platform for model development and deployment;– established centralized hub for cross-functional Data Science initiatives, integrating diverse data sources;– created new analytics workflow, boosting efficiency and collaboration across teams;Co-Develop & Maintain Dynamically Generated Master Table (Oracle DB + Python + Airflow) for ML models Ingestion:– engineered robust feature store for Retail ML models, driving personalized customer experiences;– expanded solution to Corporate & SMB sectors, enhancing adaptability and scalability;– created comprehensive analytics pipeline, streamlining data-to-insight process;Propose & Maintain new development cycle methodologies and standards:– implemented best-in-class tools & methods for analytics project lifecycle management;– designed standardized analytics templates, aligning business goals with technical execution;– established framework for efficient project tracking, auditing, and evolution;Prepare & Deliver cross-team and company-wide Data Science Strategy & Roadmap:– bi-annual C-level steering committees on strategic analytics initiatives;– facilitated cross-functional workshops to drive innovation and new project development;– conducted annual 'State of AI' briefings for technical and business units, ensuring AI literacy;Proposed in-house GPU infrastructure and Open Source LLM models, prototype innovative applications (e.g., internal search engines, document analyzers, chatbots)

Bucharest, Romania

– Prepared comprehensive Databricks ML insurance demo, showcasing MLFlow for CI/CD pipeline implementation;– Integrated Azure Storage with Delta Lake, establishing efficient data layers (bronze/silver/gold) for optimized processing;– Developed interactive Power BI dashboards linked to Databricks, providing near real-time ML model performance insights;– Conducted in-depth business analysis and client assessments, identifying key opportunities for new ML account acquisition;

Romania

- Co-Develop production ready Propensity Models for the CRM Advanced Analytics Lab (Hadoop env.)- Create development Workflow and Production integration Methodology- Co-Develop architecture flow for Data Ingestion, Model Development, Model Deployment - Co-Build and maintain Base Table ( and derivate) - 500+ variables- Deliver periodically development status & performance reports to stakeholders

Bucharest, Romania

Bucharest, Romania

Scpd Online Program, Artificial Intelligence Professional Certificate

XCS236 - Deep Generative Models XCS224U - Natural Language Understanding XCS221 - Artificial Intelligence: Principles and Techniques

Master, Cybersecurity (With English Teaching)

Economic Informatics (With English Teaching)