Resume

Machine learning engineer & head of ML education, Faktion

2018-Present

Datacamp instructor:

• Created the course Dimensionality reduction in Python

Sensor data analysis:

• Building condition classifiers for high throughput telemtry sensor data
• Setting up machine learning pipeline within lambda architecture

Sales analytics:

• Product recommendation engine
• Time series forecasts (ARIMA)
• Customer segmentation
• Propensity model

Computer vision:

• Solar panel detector from aerial images (Dockerized PostgreSQL + Postgis database for aerial image preprocessing -> Microsoft Azure custom vision API)
• Winner of the 2018 Vinci Energies Hackathon detecting emergency situations from video data

Consulting:

• AI maturity assessment
• AI strategy development

Data Scientist, MCS solutions

2015-2018

Sensor data analysis:

• Combining data sets from multiple sources (Hadoop, Oracle, local files (xml, csv, json, excel…))
• Building R-packages
• Tailoring visualizations for any data set
• Building interactive dashboards
• Getting actionable insights from data and report to clients
• Setting up logging and email alerts for scheduled analyses
• Forecasting comfort conditions (CO2, temperature, humidity)
• Forecasting battery drainage
• Applying a range of machine learning techniques (Random forests, GLM, PCA, Clustering, regression, Anomaly detection,…) + Experiment with neural nets

Custom analyses:

• Vulnerability assessment of global supply chain
• Optimize office layout based on employee activities
• Geo tagging addresses and spatial analysis
• Survey analysis

PhD student, Ghent university

2011-2015

Building complex individual based Monte Carlo models in a spatial context (using Python) and run them on High Performance Computing infrastructure. Scientific writing and talks. Mentoring students during their Master thesis and teaching. International collaborations.