Dusan Randelovic
Founder at PropWise by Machine Wise
Matosinhos, Porto, Portugal
Summary
👤
Senior🎓
Top SchoolDusan Randelovic is a founder and product-minded data scientist with 12 years of experience building data-driven products and teams across biotech, publishing, and proptech. He blends hands-on ML and bioinformatics expertise with product ownership, having led data science and product initiatives at SmartCat, Seven Bridges, Talkdesk and most recently launched PropWise by Machine Wise. Comfortable moving between technical leadership, devOps and customer-facing product roles, he has a track record of shipping automated XML-first publishing systems and bioinformatics pipelines as well as commercial ML features. Based in Porto, he pairs an MSc in Data Science with earlier astrophysics training, which informs his analytical approach and attention to reproducible workflows. Notably, his background includes founding technical ventures and shipping EU-funded spin-off products, reflecting both entrepreneurial grit and operational delivery.
12 years of coding experience
7 years of employment as a software developer
MSc in Data Science Data Science, MSc in Data Science Data Science at Singidunum University(dropped out) MSc Physics Astrophysics, (dropped out) MSc Physics Astrophysics at Faculty of Sciences, Novi Sad
Serbian, English
Stackoverflow
124reputation
2kreached
5answers
3questions
Github Skills (132)
package-management10
bioconda10
conda10
bioinformatics10
annotations9
datasets9
seq9
meta9
semantic-segmentation9
computer-vision8
rna-seq8
labeling8
python8
deep-learning8
label-studio8
Programming languages (13)
Github contributions (5)
duxan/cordova-plugin-lightbluebean
Jul 2015 - Oct 2015
Contributions:15 commits, 2 pushes, 1 branch in 3 months
bluelightcordovaandroid-pluginandroid
duxan/quagmir
May 2017 - Oct 2017
A python-based isomiR quantification and analysis pipeline that utilizes a number of recent and novel miRNA biological insights to produce useful analytics
Contributions:4 PRs, 8 pushes, 5 branches in 4 months
analysis-pipelineanalyticspythonpipelinegenomics
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