Resume
Profile
I enjoy getting insights out of data using programming tools. During my PhD I’ve learned how to approach complex problems and communicate the results to both expert and non-expert audiences. I have strong data wrangling and visualization skills and typically come up with first results sooner than expected. I’m always keen to expand my technical toolkit and learn new concepts to get more angles while tackling a problem.
Tools
- R (Tidyverse adept, sparklyr, Rmarkdown, …)
- Python (Monte carlo individual based simulations, Pandas, sklearn, …)
- SQL (Impala, Oracle, MSSQL, PostgreSQL, Postgis)
- MongoDB
- Spark (SparkSQL, streaming)
- Jupyter
- Docker
Experience
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.
Education
- Ghent university - PhD in eco-evolutionary dynamics, 2015
- Antwerp university - MS in evolutionary biology, 2010 (Magna Cum Laude)
- Antwerp university - BS in biology, 2008 (Cum Laude)
Online Courses
- Machine Learning by Andrew Ng, - Stanford Online (Coursera)
- R for data science by Kirill Eremenko, - Udemy
- Python Data Scientist track by various teachers, - Datacamp
- Python Programmer track by various teachers, - Datacamp
Publications
Jeroen Boeye, Justin M.J. Travis, Robby Stoks, Dries Bonte (2013) More rapid climate change promotes evolutionary rescue through selection for increased dispersal distance. Evolutionary Applications 2013, 6(2).
Jeroen Boeye, Alexander Kubisch, Dries Bonte (2014) Habitat structure mediates spatial segregation and therefore coexistence. Landscape Ecology 2014, 29(4).
Jasmijn Hillaert, Jeroen Boeye, Robby Stoks, Dries Bonte (2015) The evolution of thermal performance can constrain dispersal during range shifting. Journal of Biological Dynamics 2015, 9(1).
Raoul Van Damme, Katrien Wijnrocx, Jeroen Boeye, Kathleen Huyghe, Stefan Van Dongen (2015) Digit ratios in two lacertid lizards: sexual dimorphism and morphological and physiological correlates Zoomorphology 2015, 134(4).
Katrien H. P. Van Petegem, Jeroen Boeye, Robby Stoks, Dries Bonte (2016) Spatial Selection and Local Adaptation Jointly Shape Life-History Evolution during Range Expansion. Journal of Biological Dynamics 2016, 188(5).
Interests
- I participated in the 2016 Halite AI challenge using a Python bot.
- Football
- Running
- Cycling