• Experience in manipulating/analysing large datasets, finding patterns/insights within structured and unstructured data
• Deep understanding of text representation techniques such as tf-idf, n-grams, bag of words, word2vec etc
• Excellent conceptual understanding of machine learning techniques and algorithms such as decision forests, Naive Bayes, Regression, SVM and k-NN
• Hands on experience creating working recommendation models
• Hands on experience implementing natural language processing solutions, sentiment analysis and text processing (classification, clustering