Above all else, I'm drawn to difficult analytical problems and love nothing more than diving in. In my 10+ years as a researcher, analyst, and teacher of research skills, I've sought to uncover insights about the world around me in different contexts, making conceptual and practical sense of ambiguity. This drive has led me to data science, where the growing number of difficult problems is outpaced only by the sheer volume of data available. However, data science solutions are only as good as their implementation, and I maintain a relentless focus on the end user. Combining UX/Design research with technical solutions is my happy place. My background in cultural psychology and qualitative data lend a nuanced approach to text analysis, feature engineering, product design, and consumer behavior. My experience managing teams and leading consulting projects brings a business focus to data science work. My research background brings the rigor. Data science skills include but are not limited to: • Python, SQL, R • Regression, classification, unsupervised machine learning, NLP • Data visualization • pandas, numpy, scikitlearn • GCP, MongoDB, and other tools relevant to databases