Data Scientist with extensive knowledge of best-practice data cleaning techniques and approaches for a variety of data types such as data wrangling, batch processing, data mining, data enhancement, data harmonization and data standardization. Utilizes in-depth knowledge and experience of organizational problems, data formats and data modelling to lead the team in application of data manipulation techniques for large or complex projects. Experience in identifying the best visualization tool based on detailed knowledge of the data, organizational context and data analytics capability. Significant understanding of a wide variety of audiences and strong ability to tailor communication to their needs. Skilled in Python, R, SQL, Machine Learning Techniques, Deep learning, and Statistical analysis. Ability to lead a team in deploying large-scale or multi-stage models or model ensembles utilizing extensive knowledge of existing infrastructure, architecture and big data technologies.