Bio

I’m a data scientist with background in statistics and social science. Trained in statistical analysis, predictive modeling, programming and causal thinking, I enjoy tackling real-world problems ranging from predicting conversions in display advertising to testing the behavioral impact of anti-corruption audits in NYC. Specialties: - Machine Learning - Natural Language Processing - Causal Analysis - Experiment Design & Analysis (A/B Testing) - Data Analytics and Visualization Skills: - 5y in R, 6y in Python - Interacting daily with RDBMS, Linux Command Line, AWS, Spark, Cassandra, Parquet Format - Prototyped contextual product with Apache Nutch & Solr - Experience building ETL pipelines in SQL & Python / Hive & Spark - Working knowledge of d3.js, HTML, ArcGIS, Neo4j - Effective Communication & Lucid Storytelling Passions: - Digital Advertising - Education Technologies - Knowledge Graph - Deep Learning and other AI approaches For more information about me, please visit elvahuang.github.io