Develop Risk Scores for various factors influencing the Avoidable Days Problem. This role entails development of rapid solutions on various NLP challenges.
Some of the challenges are outlined below:
- Consumption, extraction, manipulation of Structured and Unstructured text.
- SQL
- Medical Domain Understanding.
- Data Analysis, Supervised / Unsupervised Learning
- Feature Engineering
- NLP Pipeline development.
- Extract relationships in data,
- Information extraction, NER,
- Word Sense Disambiguation,
- Text Classification,
- POS tagging, Text Similarity,
Document Understanding: Topic Modelling, Clustering.
Word Embeddings, Language Models, Word2Vec, Elmo, ULMFit, etc.
NLP Libraries:
NLTK, Gensim, Spacy, TextBlob, CoreNLP, TensorFlow, Keras, etc.
About the recuiterMember since Mar 14, 2020 Ravi Ranjan
from Basse, Gambia