I build working prototypes of machine learning applications for IBM and its customers.

Senior Data Scientist / ML Engineer

I have applied Data Science techniques in multiple industries, including renewable energy, transportation, and finance. I have delivered several large client projects for multinational IT companies where I was responsible for the core data-analytics as well as the visualization of data and communication with stakeholders. 

The methods I used in these projects include demand forecasting, customer segmentation, clustering, random forests, neural networks, gradient boosting and more. 

I have built multiple full-stack solutions in Python for large international IT companies. 
These projects included, analytics platforms, games, and financial forecasting systems.

My experience includes building of a database, backend, api, and frontend. I have used several other technologies in conjuction with python, including Flask, MongoDB, Docker, Travis, and many others.

I have built state of the art machine learning solutions that are used in production at large IT companies. I have extensive experince using Tensorflow, Keras, Deep Learning and similar techonologies. I have worked on Natural Language Processing, Computer Vision, ant time-series forecasting.

Full Stack Engineer - Swyg Ltd.

Vincent Lonij

We help humanitarian organizations better respond to crises by predicting when and where the next crisis will happen.

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Vincent L.

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