I love working on fun, challenging and real-world problems in the area of big data and machine learning. I am interested in utilizing algorithm to gain insights form Big Data mainly focused on social informatics (social media) and health informatics. In the past 12 years, I have been working in several companies and research and academic institutes, conducting research in different domains of Artificial Intelligence. In my PhD, I had the privilege to be a part of a great research group, Lab for Media Search (LMS), at School of Computing, where I developed machine learning approaches to decipher user wellness and lifestyle from their social media activities and contents. As a data scientist, I have many years of professional research and engineering experiences in projects related to big data mining, data aggregation and knowledge extraction, social media computing, information retrieval, recommender systems and the related topics. I am a data scientist with the following experiences: - Social Media Computing and User-Generated Content Understanding. - Deep Learning (TensorFlow, Theano), large scale image classification, missing values prediction; - Natural Language Processing and Sentiment Analysis; - Unsupervised Modeling and Reinforcement Learning Methods; - Time series analysis of high dimensional data; - Team Leader with strong project management and communication skills - Self-starter attitude with willingness to learn and master new technologies; - Highly motivated with the Ability to execute multiple projects and drive key business results under tight deadlines; - Experience with big data technologies and delivering world class data science practices that leverage complex data; - Experience in high-performance computing and analyzing large scale datasets;