Tigran Khachatryan is a Senior Data Scientist based in Helsinki with 5 years of experience turning research-driven insights into production-grade ML and simulation products. He leads Data Science R&D, aligning advanced methods—geometric deep learning, GNNs, large-scale deep learning and complex network analysis—with business needs to deliver scalable solutions for social media analytics and national-scale mobility and demographic forecasting. His background at Aalto University informs a strong theoretical grounding in topological and spatial patterns, which he has translated into practical systems like agent-based mobility simulators and H3-indexed data platforms that cut retrieval times tenfold. Tigran has built synthetic spatial data pipelines valued at over €3M and routinely communicates complex technical ideas to non-technical stakeholders. He combines curiosity-driven exploration with hands-on ownership across ETL, modeling, deployment and monitoring, making him effective at both inventing and operationalizing novel data products. Outside work he blends interests in mathematics, architecture and urbanism, reflecting a systems-level view of data and cities that informs his modeling approach.
5 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Master of Science - MS at Aalto University
DashMap is an open source web platform that gathers, analyses and visualises urban data.
Contributions:2 releases, 78 commits, 3 PRs in 1 year 3 months
visualisesweb-platformanalysesdashmapspatial-data
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