R/Python Data scientist

I am a data scientist with +7 years of experience in both industry and research.
I hold a BSc in Economics and a MSc in Applied statistics and data mining, both from the University of Buenos Aires (that is currently ranked 75th worldwide).

I have a solid theoretical and practical knowledge of major machine learning and deep learning algorithms. Below are some of the common task I'm consulted with:

- Time series forecasting
- Exploratory data analysis
- Data visualization using R/Shiny, Rmd or Jupyter Notebooks
- Machine learning for business and financial applications.
- Hypothesis Testing
- Automated A/B testing
- Deep learning for Computer vision: Image classification, Object detection, Segmentation among other common tasks. Experience working with deep learning and the movidius NCS.
- Deep learning for NLP
- Deep learning for Speech recognition
- Movidius NCS

Languages
- R (7 years)
- Python (6 years) (keras, tensorflow, pytorch, numpy, scikit-learn, pandas, opencv, spacy)
- SQL

I often work with clients in one initial project that helps them get to know how I work. Expect fluent communication, technical proficiency and long term support. Most of my clients hire me for a particular project but often re-hire me for other projects or just leave the contracts open for long term support.

Blog: mbel.io

Work Terms

I'm flexible to discuss new projects via skype or email. Because of the nature of DS work I only take hourly jobs.