Position: NLP Engineer/ML Engineer/Researcher/Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

Master's degree in Data Science, 
Master's degree in Applied Linguistics
As an NLP Engineer, I prototyped and developed a POC conversational restaurant recommendation engine (intent classification, slot  filling, dialogue management) using Python, RASA (NLU), ElasticSearch, and Chatette. 

As a Data Scientist, I was responsible for extracting and classifying relevant search terms (multi-class search term classification) that helped drive business decisions for clients' advertising campaigns. I collaborated closely with cross-functional teams, including engineers, product owners, and customer success teams. 

Side projects:
Hate Speech Detection with BERT on social media data. I ran experiments to assess the accuracy of multiple flavours (e.g., BERTweet, RoBERTa) of BERT on social media data for hate-speech classification.

Legal NER project:
Scrapped court judgment data and generated reliable language annotations to create a high-quality corpus for Named Entity Recognition. Developed a user-friendly search web interface for querying legal documents from the corpus in real time.
The friendly and proactive team, ability to have an impact on the product

Preferred business lines of the project: Healthcare, Finance, Ads