Question Answering System

Question Answering System

Relevance to the Business:

  • Leveraged my expertise in deep learning and Natural Language Processing (NLP) to develop tools for enhancing efficient information retrieval in today’s data-driven environment.
  • Targeted at business entities who improve customer support and productivity by automating the extraction of valuable insights from their vast databases.

Accomplishments:

  • Delivered an attractive Proof of Concept (PoC) to MTI and some private clients, showcasing practical applications.

Transferable Skills:

  • Solid Understanding of Deep Learning models for NLP,
  • Skilled in Python programming and utilization of NLP libraries such as spaCy, NLTK, transfomer models from hugging face.

Responsibilities:

  • Developed a prototype for Q&A systems, from conceptualization to implementation.