Overview

As a Senior Data Scientist I help to spearhead the development of state of the art machine learning and big data products that empower business partners to make better (automated) data-driven decisions. 

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Analysis and modeling strategies I use

• Deep Learning (focus on time series)

• Time series analysis (Spectral decomposition, autoregressive modeling, etc)

• Demand forecasting using various techniques (both discrete and continuous time series)

• Supervised learning (GAM's, Gradient Boosted trees, etc)

• Unsupervised learning (Spectral clustering, GMM's, K-means, etc)

• Graph theory and network analysis

• Information theory

• Mathematical optimization

• Causal inference (Granger causality, etc)

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Technology stack

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