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.

Personal details

Vincent L.

Summary

Technical skills

Work Experience

Personal Projects