About Me
My introduction
Natural problem-solver and Computer Vision Engineer with extensive knowledge and experience in Data Science. I spend my days finding creative ways to improve data-driven solutions with latest technologies, biking and hacking dApps.
04+
Years
experience
experience
04+
Companies
worked
worked
10+
Completed
projects
projects
Qualifications
My personal journey
Negotiation and Leadership
London School of Economics and Politics, UK
2021 Banco Santander Scholarship
MSc.Eng. in Vision Graphics, and Interactive Systems (Artificial Intelligence)
Aalborg University, Denmark
September 2016 - June 2018
BSc. in Sound and Image Engineering
Technical University of Madrid, Spain
September 2011 - July 2016
Machine Learning Software Engineer, Cognitive Analytics
QlikLund, Sweden
February 2020 - March 2021
Portfolio
Most Recent Work
K-Means in Qlik Sense
Development of the KMeans algorithm inside Qlik's engine: KMeans2D, KMeansND, KMeansCCentroid2D, KMeansCentroidND.
More info
Auto-clustering Optimization
KMeans functions support auto-clustering using a method called depth difference (DeD). When a user sets 0 for the number of clusters, an optimal number of clusters for that dataset is determined.
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Papers Published
My contribution to researchSubjective Annotations for Vision-Based Attention Level Estimation
2019
Andrea Coifman, Péter Rohoska, Miklas S. Kristoffersen, Sven E. Shepstone & Zheng-Hua Tan.
14th International Conference on Computer Vision Theory and Applications (VISAPP 2019).
Read here
14th International Conference on Computer Vision Theory and Applications (VISAPP 2019).
Read here
Pixel Reprojection of 360 degree Renderings for Small Parallax Effects
2017
Joakim Bruslund Haurum, Christian Nygaard Daugbjerg, Péter Rohoska, Andrea Coifman, Anne Juhler Hansen & Martin Kraus.
International Conference on Augmented Reality, Virtual Reality and Computer Graphics (AVR 2017).
Read here
International Conference on Augmented Reality, Virtual Reality and Computer Graphics (AVR 2017).
Read here