Business vision & process-oriented Data Scientist/Machine Learning Engineer specializing in end-client engagement from pursuit to closeout. Developing use-cases, reviewing data to meet project needs, and delivery of advanced analytics. Using statistical, optimization, visualization, transformation, validation, and other techniques, along with languages like Python, R, SQL, TensorFlow, AWS, and MS Azure can develop & deploy supervised, unsupervised, and semi-supervised learning - including Machine Learning, NLP, Deep Learning and AI models.