Responsible as a team member to perform text analysis for the covid19 survey conducted for the nurses.• Worked on data preprocessing, sentiment, topic and emotion analysis for the covid19 survey responses received from nurses.

•Worked on the Text Analytics project to extract crucial insights from large volumes of data from various articles by implementing Machine Learning models.•Executed Feature extraction method: TfidfVectorizer, CountVectorizer and performed preprocessing techniques such as Stemming, Lemmatization, Stop word removal for 1800 articles related to License agreement obtained from the Factiva Database.•Executed machine learning models: Logistic Regression, Random Forest, DecisionTreeClassifier, SVC and attained an accuracy of 80%