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- Wallonie Bruxelles EnseignementSenior Data AnalystONDERWIJS & E-LEARNINGjanuari 2023 - januari 2025 (2 jaren)Belgium• Led data analysis, modelling and reporting for the regional education authority, focusing on secure data flows, GDPR compliance, and operational monitoring.• Delivered end-to-end data modelling and reporting workflows, including data preparation, transformation, and visualization, aligned with public sector standards.• Built and maintained advanced Excel models and Python scripts to process and analyze large-scale educational datasets, ensuring data integrity and traceability.• Designed interactive dashboards using Tableau and MS SQL Server, improving visibility of key performance indicators and enabling data-driven decision-making.• Ensured robust GDPR compliance, implementing data accessibility standards and secure handling procedures across platforms.• Facilitated agile project delivery, coordinating with internal teams and external stakeholders to align technical solutions with operational needs.• Supported data standardization efforts across institutions, improving interoperability and reducing redundancy.• Contributed to monitoring and alerting systems for data flows, enabling early detection of anomalies and performance issues.• Working on this project I developed strong Reverse-Engineering abilities: I analyzed existing reports, data models, and ETL flows to reconstruct underlying logic, document dependencies in order to propose optimizations• Applied methodologies transferable to time-series analysis and flexibility modelling, relevant to energy and infrastructure sectors.• Technologies : Python, VBA Excel, Tableau, MS SQL Server, GDPR, Agile
- IBMData Analyst / Data ScientistBIOTECHNOLOGIEjanuari 2017 - januari 2022 (5 jaren)Belgium• Led data modelling, governance, and analytics initiatives for complex life sciences datasets, with a strong focus on compliance, cloud integration, and operational excellence.• Spearheaded data governance programs using AWS and Azure cloud platforms, achieving full GDPR and IAM compliance across multiple data domains.• Designed and executed statistical models and simulations to test operational strategies, directly applicable to economic dispatch and market adequacy studies.• Conducted scenario-based modelling using Python, R, and Excel VBA to support strategic decision-making and regulatory reporting.• Delivered compliance-driven reports aligned with healthcare regulations, ensuring traceability, auditability, and stakeholder transparency.• Led cloud migration and architecture design for secure data storage and processing, integrating multi-source datasets into unified platforms.• Directed vendor selection and market research for data tools and platforms, optimizing cost-efficiency and scalability.• Implemented agile project methodologies, coordinating cross-functional teams and ensuring timely delivery of analytics solutions.• Developed automated workflows for data ingestion, preprocessing, and reporting, improving operational efficiency and reducing manual errors.• Collaborated with IT and data science teams to align technical solutions with business needs, acting as a strategic bridge between domains.• Technologies : Python, R, Excel VBA, AWS, Azure, SQL, Agile, GDPR, IAM
- Heartbeat Experts (Belgium)Business AnalystBIOTECHNOLOGIEjanuari 2009 - januari 2016 (7 jaren)• Led research and data analysis initiatives for healthcare-focused market intelligence projects, with a strong emphasis on data sourcing, survey design, and statistical reporting.• Identified and curated relevant data sources for Key Opinion Leader (KOL) identification projects, ensuring accuracy and strategic relevance.• Designed and supervised desk research workflows, coordinating research teams and ensuring methodological consistency.• Configured and managed survey phases, including questionnaire design, deployment, and response tracking.• Conducted data analysis and result compilation, transforming raw survey data into actionable insights for client reporting.• Supported the implementation of Virtual Advisory Boards, facilitating remote stakeholder engagement and feedback collection.• Applied statistical modelling and data visualization techniques using Python, R, SQL, and SAS to deliver high-impact reports.• Maintained and queried relational databases, ensuring data integrity and accessibility for analytics teams.• Collaborated with cross-functional teams to improve customer experience and optimize research delivery processes.• Technologies: Python, R, SQL, SAS, Microsoft Office, Data Visualization, Survey Tools
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Opleidingen
- Certified: Data Science and MethodologyCertified: Data Science and Methodology
- Python for Data Science and AIPython for Data Science and AI