Summary
Sukanya Nath is a Scientific Collaborator and data scientist with nine years of experience applying NLP and computational linguistics to real-world problems across academia and industry. Currently at the University of Bern’s Data Science Lab, she supports university-wide NLP solutions and trainings while pursuing a PhD-era research profile from Université de Neuchâtel. Her work spans automatic answer evaluation, emotion detection, recommendation systems, and stylometry for multi-author documents, with prior projects detecting burnout signals from clinical and social media text. Sukanya blends hands-on engineering (R/Python) and research rigor, having transitioned from software development at Samsung Research to applied research roles in Swiss universities and industry. She is especially skilled at turning advanced embeddings and stylometric methods into practical, evaluable systems for education and health domains. Colleagues value her ability to bridge research ideas to deployable workflows and to communicate complex NLP techniques to non-specialist stakeholders.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Informatik, Bachelor’s Degree, Informatik at National Institute of Technology Silchar
Master’s Degree, Computer Science (Data Science Specialisation ), 5.5/6, Master’s Degree, Computer Science (Data Science Specialisation ), 5.5/6 at Universität Bern
Doctor of Philosophy - PhD, Computational Linguistics, Doctor of Philosophy - PhD, Computational Linguistics at Université de Neuchâtel
English, German, Hindi, Bengali, Assamese