Eduard Goffart-Winkin

💼 Professional experience

Agilytic

Data Analyst/Scientist Since 2023

• Banking : Improvement of cross selling algorithms through smart feature engineering and modelling. Python
• Financial institution : Creation and implementation of a dashboarding tool to simulate the effects of changes in business model, analyzing all historical transactions and contract details. SQL, Python, PowerBI
• Banking : Fraud detection automation with metadata & text analysis, image extraction and steganography. Python, Docker, Azure.
• Storage provider : Support the implementation of Data Governance focusing mainly on access management and documentation. Azure Purview
• Retail : Creation and implementation of a recommender system. Python, Docker
• Internal projects
• Finetuning and benchmarking of Large Language Models. Python, Databricks.
• Automation of NBB and ECB data collection to build a comprehensive B2B database to enrich lead scoring models. SQL, Python, Azure.

Nike

Data and Insight Intern 2023 Worked in a data squad on analysis, modelling and reporting for forecasts of Supply chain data. Technologies: Python, Snowflake, AWS

🦾 Certifications, trainings

Methodologies

• Data analysis
• Statistical analysis
• Machine Learning
• Cloud computing
• Project Management

Software & programming

• Python
• SQL
• Power BI
• Docker

Certifications

• Microsoft Power BI Certified Data Analyst Associate
• AWS Cloud Practitioner
• AWS Certified Machine Learning – Specialty
• Databricks Certified Machine Learning Professional

🎓 Academic credentials

• Master of Business engineering KU Leuven, 2021-2023
• Bachelor of Business engineering, technologies and information management UNamur, 2018-2021

🇺🇳 Languages

🇫🇷 French: Native

🇬🇧 English: Native level

🇳🇱 Dutch: Limited proficiency