Over Don
- Data & AI Systems: Predictive models, automation scripts, and custom analytics pipelines (Python, Azure, Databricks).
- Web Platforms & Dashboards: Secure Django-based portals, admin dashboards, and API integrations for real-time data sharing.
- Business Intelligence & Automation: Power BI/Tableau integrations, automated reporting, marketing attribution, and segmentation systems.
- A data-driven MVP or internal analytics portal.
- A validated ML prototype for forecasting or classification.
- A multi-source ingestion system that connects web forms, file uploads, and APIs into one clean pipeline.
Engels
Tweetalig / moedertaal
Nederlands
Basiskennis
Werkervaring
- ABN AMRO N.VDATA SCIENTISTaugustus 2022 - Vandaag (3 jaren en 10 maanden)Netherlands• Examining and apply metadata and other data sets that are highly diverse and complex.• Developing integrated data-driven solutions in business and IT processes.• Exploring existing and new data, models and techniques, finding suitable ones and applying them.• Staying in touch with stakeholders to give advice that comes from data, allowing decisions to be made based on data.• Finding new and innovative ways to analyze data together with your team.• Ensure the continuous functionality of data pipelines.• Ensure the continuous functionality and accuracy of existing data science models.• Designed and deployed interactive dashboards for senior management improving decision making on application complexity.
- ABN AMRO N.VIT ENGINEERoktober 2021 - juli 2022 (9 maanden)Netherlands• Work According to Agile/Scrum Methodology and CI/CD Approaches.• Maintain applications health and functionality.• Maintain a clean and secure system and provide continuous improvements.• Support internal customers with desired system features and changes.• Build, improve and maintain tool scripts.• Actively testing delivery software.
- AMSTERDAM,DATA ENGINEER, CONSUMATRIXfebruari 2021 - januari 2022 (11 maanden)Netherlands• Create and maintain optimal data pipelines and develop architectures.• Assemble large, complex data sets that meet functional / non-functional business requirements.• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.• Work with data and analytics experts to strive for greater functionality in our data systems.• Creating valuable data insights utilizing massive amounts of data
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Opleidingen
- M.S IN COMPUTER SCIENCEVRIJE UNIVERSITEIT AMSTERDAM & UNIVERSITY OF AMSTERDAM2024M.S IN COMPUTER SCIENCE
- B.S IN IFORMATION TECHNOLOGYMONROE COLLEGE2017B.S IN IFORMATION TECHNOLOGY