Data Scientist

Python Teaching
Virtual Volunteering

I have developed the natural language processing (RASA NLU) area of a RASA architecture-based chatbot using python on ubuntu based environment, the most notable libraries being used are numpy, scikit-learn, rasa-nlu, rasa-core to name a few. I have also developed a restaurant-based chatbot using the RASA architecture where the main functionality was to propose restaurants to the users from a list of restaurants provided.

The deliverable I am currently meeting are as follows:
- Making the data-set better by creating co-occurrences of certain entities which involves handling lists, strings datatype and working with list comprehension.
- Using the confidence level of intents and entities to make the bot work more efficiently.
- Created techniques to generate .json file format dataset using pandas.
- Created a simple tool using web scraping by python to extract information on EU regulations.
- Working to generate questions automatically using dependency parsing, spacy lefff for POS tagging from sentences following certain rules for dataset.

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