Ioannis Pikoulis is a Senior Data Scientist based in Athens with 4 years of experience applying deep learning, pattern recognition and computer vision to real-world problems. He holds an MEng and an MSc in Data Science and Machine Learning from NTUA with top grades and completed a thesis on context-aware visual emotion recognition that achieved state-of-the-art results on the BoLD dataset under Prof. Petros Maragos. At HP he progressed rapidly from Associate to Senior Data Scientist working on product recommendations and NLP within GTM Advanced Analytics, and previously contributed to data-driven products at Satori Analytics. He combines strong academic foundations in representation learning with hands-on experience shipping ML systems in production, and earlier full-stack web development work gives him a pragmatic edge in integrating models into services. An observant researcher-practitioner, he often blends body language and contextual cues into ML solutions—an approach that helped his thesis outperform benchmarks on “in-the-wild” emotion recognition.
4 years of coding experience
3 years of employment as a software developer
MSc (90 ECTS), Data Science and Machine Learning, 9.72/10.00, MSc (90 ECTS), Data Science and Machine Learning, 9.72/10.00 at National Technical University of Athens
[IEEE FG 2021] PyTorch code for paper titled "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild"
Contributions:32 commits, 2 PRs, 35 pushes in 1 year 5 months
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