Summary
Nasrin Taghizadeh is a Data Analyst and NLP engineer with nine years of experience applying AI and deep learning to real-world problems across telecom, medical, and research settings. Currently at MTN Irancell AI Labs, she leads credit scoring and time-series projects on large-scale telecom datasets, building on prior roles as a data scientist and NLP researcher for medical applications. A PhD candidate in AI from the University of Tehran, her doctoral work spans ontology and WordNet construction to named entity and relation extraction, including a research stint with Prof. Alessandro Moschitti in Trento. She combines strong algorithmic and Python skills with hands-on experience in big data analytics and production-focused ML, and earlier in her career she was also an early Android developer and instructor of data mining and neural networks. Known for bridging academic research and practical deployment, she brings particular strength in building knowledge graphs and information extraction pipelines for Persian language resources.
9 years of coding experience
5 years of employment as a software developer
PhD Candidate, Artificial Intelligence, Natural Language Processing, PhD Candidate, Artificial Intelligence, Natural Language Processing at University of Tehran
M.S, Software Engineer, M.S, Software Engineer at Sharif University of Technology
Persian, English