Researched machine learning algorithms for time series and sequential pattern mining in real-time bidding advertising engines.

Math & Statistics:Designed and programmed algorithms for machine learning applications: feature engineering, dimensionality reduction, multi-label classification, relevance engines, topic modeling, and sentiment analysisDealt with messy, unstructured text data for topic clustering, sentiment analysis, and entity extractionConstructed interpretable network graph models from massive social media dataCoding:Wrote programs for all parts of data analysis pipeline, including: site-scraping, processing/munging, storage, retrieval, statistical analysis, visualizationScripted automated solutions for administrative and system processesOptimized algorithms for faster execution and smaller memory footprintsCustomized back-end code of common Python libraries for specific applicationsParallelized data cleansing and data extraction processes across distributed infrastructureWrote programs to automate data cleansing and data extraction proceduresWrote programs for concurrency in PythonCloud:Wrote custom Hadoop jobs for large-scale batch processing and analysisCybersecurity: Researched algorithmic models and frameworks for graph analysis of IP networks

Technical: -- Assembled and combined data from various types of sources -- Transformed, manipulated, and cleaned large data sets -- Designed and wrote custom SAS programs for ad-hoc analysis and process automationBusiness: -- Summarized and presented analysis of trends and patterns to both technical and non-technical upper management -- Multitasked regular, operational duties with long-term analysis projects

Communication: -- Taught recitation sessions of basic statistical concepts to students with non-quantitative majors. -- Communicated advanced concepts in a simple, non-mathematical way when necessary. -- Quickly formulated new explanations when thrown impromptu questions.

Techincal: -- Data mined and analyzed claims data for trends and patterns. -- Manually and automatically cleaned and assembled data from multiple sources.Business: -- Teamed with colleagues across all departments: sales, underwriting, IT, and management. -- Worked independently and multi-tasked several projects at once, balancing priorities.