I am a Data Scientist for MTV Networks (Viacom) with a PhD in Political Science from the University of California San Diego. My dissertation --with funding from the National Science Foundation-- used machine learning to uncover hidden relationships between income inequality, local elections and the provision of public goods (water, sewerage) to the poor in Mexico. I currently apply machine learning algorithms to deepen our understanding of audiences and content. This requires building cutting-edge predictive models; discovering hidden similarities between users and media content through clustering, dimensionality reduction, collaborative filtering and other matrix decomposition techniques; using network analysis to understand the diffusion of messages in social media; classifying content with topic modeling and other natural language processing methods; implementing AB testing frameworks (both frequentist and Bayesian), and applying time-series analysis to forecast performance. I am passionate about applying these skills to uncover hidden insights about human behavior. My expertise involves every aspect in the data chain: generating conceptual road-maps according to strategic business goals; coordinating with back-end engineers to rethink how data is captured, stored and managed; auditing voluminous sources of third-party data to ensure its integrity, and finally automating the generation of reports using this data. The high-level goal is to design and build the most appropriate measurements from the onset because statistical sophistication cannot make up for poorly designed and noisy data. Avoiding sample bias and measurement error through clean design is key for obtaining useful, actionable understanding of audiences and content. I'm always happy to do pro-bono work for the right cause, please contact me if you'd like us to collaborate! Stack: Python, bash, SQL, Spark, R, GIS.

Data Scientist @ From November 2014 to Present (1 year 2 months) Fellow @ From August 2014 to October 2014 (3 months) PHD Student @ From September 2007 to June 2014 (6 years 10 months) Hewlett Predoctoral Fellow @ From 2012 to 2013 (1 year) Consultant @ From 2012 to 2012 (less than a year) Project Director @ From 2005 to 2007 (2 years) Junior Advisor to the Executive Director of Party Finance @ From 2003 to 2005 (2 years) Data Analyst @ From 2002 to 2003 (1 year)

Alexander Euler is skilled in: Data Science, Machine Learning, Databases, Statistical Modeling, R, Survey Design, Policy Analysis, Analysis, Stata, Python