Partnered with Bonfire Interactive Ltd. on a consultant project.
● Designed an algorithm to detect sensitive key words to an entity according to their
similarity scores using the vector embedding of the domain vocabulary.
● Built an application to extract identifying information of entities from records and
anonymize them, enabling Bonfire to unlock a feature of automatic configuration
templates for procurement projects.
● Hands on data aggregation and munging through Postgresql/Pandas and use natural
language tools like LDA, TFIDF for topic/keywords extractions.
● Built a recommendation system for Bonfire to automatically extract essential criteria of
procurement projects based on historical records.