Germany
· 11+ years of hands-on transformation of Real-World Data (RWD) into Real-World Evidence (RWE) through Data Science & AI strategies via clear KPIs/OKRs. · 5+ years leading Data Science & AI teams in matrix corporate environments. · 6+ years in Healthcare and Pharma industries and 2+ years in the Telecom industry. · 5+ years of consulting with enabling AI solutions & AI architectures in the German/EU market. Certifications: Scrum Master | AI Manager | Cloud ML | B2 Deutsch
Focus areas: AI strategy, Data Management, GDPR, AI Regulation, cybersecurity, and the Integration of AI systems into organizations.
Actively developing my business German, to navigate diverse communications in high end proficiency.
The Diploma consists of 3 major Modules : Module # 1 (Passed with Excellent Grade Note: 1.3): AI Management: Transformation in the Working World - Development and implementation of AI Projects - Data acquisition - Use Cases Formulation and Risk Management - Chatbots - Ethics and Social Responsibility - Data Protection - Legal aspects of AI - Digital Transformation Module #2 (Passed with Excellent Grade Note: 1.0): Communication & Conflict Management - Team Communication & Management - Presentations - Personality Management - Conflict management Module # 3 (Passed with Excellent Grade Note: 1.0): Agile Project Management and PSM SCRUM Master Certification
Working with Pharmaceutical data, responsible for designing, developing, and implementing with advances of machine learning models to accurately classify Adverse Events (AEs) in clinical trials data. Explore and evaluate various features and techniques to optimize the needed solution for performance and interpretability. Collaborate with cross-functional teams to identify relevant data sources and ensure data quality for model development.
Providing Consultation Services for an Agentic AI solution design and implementation Project :Generating Visualization directly from user text (Gen AI & AutoML) – Developed a groundbreaking module that translates user text into impactful data visualizations. It leverages LLMs via LangChain to create a data-savvy agent. – Gen AI takes data manipulation further with AutoML. It builds fully automated python code and sql query and evaluates ”RAG pipelines” to find the best one for each task that enable Smart Chart Selection by analyzing both the entire database and the user input to suggest the most fitting chart type (pie, bar, line).