Worky | Meet our Talent - Ronny De winter

Skills

Data Science

Python

SQL

Pandas

Tableau

OpenAPI Specification (OAS)

REST

Unified Modeling Language (UML)

Data Analysis

Data Mining

Data Visualization

Machine Learning (ML)

Apache Airflow

About

RONNY DE WINTER's skills align with Programmers (Information and Communication Technology). RONNY also has skills associated with IT R&D Professionals (Information and Communication Technology). RONNY DE WINTER has 7 years of work experience.

Acomplishments

Brussels Airport Company • Conduct data analysis on flight information for the Airport Operations DataBase (AODB) team. • Develop REST API’s and facilitate integration with partner systems (eg Brussels Airlines, AviaPartner). • Analysis on aircraft turnaround times, predict delays based on turnaround activity timestamps measured by IOT devices and ML camera. Document the turnaround process. • Model user management and user onboarding processes using BPMN.

European Commission • Led analysis for the EU e-submission portal for Food Safety (ESFC) and conducted BPMN process modelling. • Orchestrated the migration of EC food domains databases towards a union list, manage the backlog, create and prioritized the user stories. • Integrated ESFC with applications used in the European Food Safety Agency (EFSA)

Work Experience

Business Analyst Health & Food Safety

European Commission

December 2021 - September 2022

Led analysis for the EU e-submission portal for Food Safety (ESFC) and conducted BPMN process modelling. • Orchestrated the migration of EC food domains databases towards a union list, employing exploratory data analysis with Neo4j. • Integrated ESFC with applications utilised in the European Food Safety Agency (EFSA)

Application Analyst

YPTO

October 2020 - December 2021

Acted as the primary analyst for the new NMBS mobile app, facilitating the sale of 100k train tickets daily. • Served as the single point of contact (SPOC) for business stakeholders, guiding project scopes • Analysed user stories and performed domain modelling for new features such as flexible abo's and parking Other Data engineering experiences

ACA IT-Solutions/Smals/FOD Justice

January 2020 - December 2020

Data modelling for a state-of-the-art document management system implemented with CouchDB and Elasticsearch • POC using face recognition on publishing marketing photos of employees, automatically checking if GDPR approval was given, using AWS and Amazon Rekognition ESAS field services (2019) • Applied k-means clustering algorithm to assign technicians to daily work locations minimising their travel time, using Jupyter and Python libraries • Defined REST API's (OpenAPI) to integrate with other internal and external systems • Reported analytics on technician field services using Power BI

European Commission DG

January 2018 - December 2018

Revamp a legacy application (planning and management of EU funding for EU candidate countries) and define a new data model, using Oracle and Sparx Enterprise Architect

LCM

January 2017 - December 2017

Data quality analysis and Anomaly detection and resolution on yearly customer payments, using Oracle and Jupyter/python scripting. Removed 120.000 data anomalies leaving only 1500 residual errors by introducing a data refresh mechanism using ETL, aligning with external sources • Reporting of the resolution planning progress to management

Monthly PMO dashboard for director capital markets

Fortis

January 2011 - December 2011

reporting on all ongoing IT projects (effort, cost, scope, milestones, issues, risks) with Python scripting and Excel. Additional experiences and earlier roles as analist, project manager, process improvement coordinator and developer, available upon request and on LinkedIn.

Analyst Flight Information

Brussels Airport Company

October 2022 - Present

• Conduct data analysis on flight information for the Airport Operations DataBase (AODB) team. • Develop REST API's and facilitate integration with partner systems (eg Brussels Airlines, Avia- Partner). • Perform statistical analysis based on historical data and ML models for optimizing aircraft turnaround time, delay propagation, and boarding times.

Ronny De Winter