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Data Scientist
Ruri Software Technologies LLC
- United States
- United States
À propos
Data Scientist
Work Location:
Tampa, Florida
Duration:
8+ Months
Job Description: • Performed Topic Modeling for identifying abstract Topics underlying in the collection of J&J's covid vaccine customer complaints data using various algorithms including LDA, NMF, KMeans, etc. • Created an API by utilizing Flask and imparted the plan to application group by enablin them to characterize the models. • Utilized AWS Machine Translator for translating chatbot responses of employees from 10 different languages to English. • Performed lexical normalization for translating/transforming a non-standard corpus to a standard text form. • Used text simplification techniques (stopword removal, punctuation removal, lemmatization) for making a text easier to read and understand, while preserving its main ideas and approximate meaning. • Extracted top keywords for identifying the most relevant terms to describe subject of the obtained intents from model. • Created Text Summarization pipeline for shortened version of several documents belonging to the identified intents that preserves most of their meaning using cosine similarity an Transformers T5 Base models. • Tagged entities in text with their corresponding type, typically in BIO notation using Named Entity Recognition techniques including StandcoreNLP, countvectorizer packages. • Assisted in Entity Linking for the content strategy team by recognizing and disambiguating named entities and designing phrases, intents, and solutions for the knowledge base of J&J chatbot system. • Predicted Demand for supply shipments of covid vaccines across the globe using supervised learning algorithms with an accuracy of 86% • Built Phrases Generation pipeline using n-grams, fuzzywuzzy, sentence similarity models for identifying the top common phrases belonging to their corresponding topics. • Developed Intent Detection tool using traditional NLP methods for capturing the semantics of chatbot transcripts of employees in the payroll division of J&J and assigning them to the correct label.
Compétences linguistiques
- English
Avis aux utilisateurs
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