SPRU - Science Policy Research Unit

Miss Yuliya Halavachova

Post:Research Assistant in Deep Transitions (SPRU - Science Policy Research Unit)
Location:JUBILEE BUILDING JUB-331
Email:Y.Halavachova@sussex.ac.uk
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Role

Excellent IT skills. Advanced knowledge of programming language Python. Text mining and contributing databases. Experience with web-scraping techniques, the use of regular expressions to query large corpus. Excellent attention to detail, the ability to exercise a degree of innovation and problem solving skills.

Strong knowledge of Natural Language Processing and Machine Learning algorithms applicable to a big data.

Good representation skills, with the ability to communicate effectively, both orally and in writing, with colleagues and external audience. Work independently and as part of a team. 

#DataScience #NLP #MachineLearning #Research #DeepLearning #Python #R #DataCleaning #DataProcessing #Clustering #Regression #Classification