- Programming Languages:
- Python and MATLAB
- broad experience across algorithm types, both supervised and unsupervised learning methods
- clustering approaches like DBSCAN
- fraud/anomaly detection and methods for learning in imbalanced datasets
- decomposition and dimension reduction techniques like NMF or PCA
- natural language processing (NLP)
- data visualization with matplotlib, seaborn, Jupyter
- statistical analysis with Bayesian methods and inference
- correlation methods
- Experience customer-facing briefing at senior leadership level. Several platform presentations at very large international scientific conferences. Extensive experience with presentations to small/medium sized groups on technical scientific material.
See my resume or CV
for more details!