Alan Lee
Modesto, California, *****
acxcub@r.postjobfree.com:acxcub@r.postjobfree.com
mailto:acxcub@r.postjobfree.com
Data analyst with a demonstrated knack for interpreting and analyzing data. An intellectual curiosity and fierce passion, combined with a background in mathematics, statistics, computer science, and finance provide a perfect backdrop for inquisitive data analysis. Experience in working in fast-paced environments, utilizing a variety of technologies to extract hidden gems within large data sets.
Skills and Qualifications
●Advanced proficiency in R, Python, Matlab, and Java
●Proficiency in Tableau, SQL, MySQL, Hadoop, MapReduce, SAS, Javascript, and Html
●Experience with MS Word and Excel, including VBA scripting
●Comfortable with ETL, data munging, data analysis, and data visualization utilizing appropriate languages and technologies.
●Strong familiarity with Statistics, Machine Learning, Data Structures, Computational Linear Algebra, Numerical Optimization
●Experience with large data sets, structured and unstructured.
Relevant Experience
Data Analyst – Save Mart Companies – December 2015 - Present
Modesto, California
●Developed labor models to more accurately schedule labor across 200+ retail stores.
●Performed ad-hoc analysis on transaction data to create insights used to drive strategic planning.
●Developed key performance index dashboards to give leadership visibility and analytics.
●Performed data mining on large data sets to detect and predict abnormal circumstances.
●Experience in working with cross-functional teams to provide insightful analytics and metrics.
Analyst for Prime Publishing - June 2014 - September 2014
Northbrook, Illinois
●Performed A/B tests on 26 different domains that were effective at increasing traffic and decreasing bounce rate for each domain. Optimizations decreased cost per click by 20% over work period.
●Developed reporting structure for key performance scripts to save hundreds of work-hours for functional teams through the automation of daily reporting.
●Increased ROI on marketing campaigns through k-means clustering and statistical analysis.
Researcher in Graduate Undergraduate Learning Program at UCSD - December 2013 - March 2015
La Jolla, California
●Utilizing public data sets, examined relations between various societal factors and financial derivatives through a various methods, including statistical signal processing.
●Constructed models, using Python and R, to research volatility using deep learning on Big Data.
Education
Bachelor of Science: Applied Mathematics, Computer Science Minor - Graduated December 2015
University of California, San Diego (UCSD)
Relevant Activities and Societies: Graduate Undergraduate research program in Mathematics, DS3 - UCSD Data Science Student Society