Data Project

Ken Kauffman

linkedin.com/in/kenkauffman – https://github.com/kensportsfan – **********@*****.*** – 650-***-**** Education

California Polytechnic State University, San Luis Obispo Bachelor of Science in Industrial Engineering, Minors in Statistics and Psychology, Graduating June 2016 Major GPA: 3.78 Overall GPA: 3.41 Class Level: Senior Recent Work Experience

Soasta – Mountain View, CA December 2015 – Present Data Science Intern

Performing exploratory analysis on customer data to identify anomalous trends

Adding features to the Data Science Workbench product to enhance visualization of customer analytics Apigee – San Jose, CA Summer 2015

Software Engineering Intern

Built an anomaly detection tool to alert customers and internal employees when app traffic and HTTP response errors reached unusual levels

Created a correlation tool to find simultaneously abnormal metrics when anomalies did occur to inform customers what was responsible for issues

Shocase – San Francisco, CA Summer 2014

Analytics Intern

Scraped, parsed and sorted over 30,000 records of advertising agencies from around the world to build up a company database of domains on the site

Assisted User Experience team in implementation of website design for maximum user satisfaction

Organized and maintained more than 40 spreadsheets for tracking user on-boarding and activity on the site Cal Poly Corporation – San Luis Obispo, CA January 2015 – June 2015 Data Science Research Assistant

Crafting data science curriculum for the formation of new data science department at Cal Poly

Developing features on open source Project Jupyter Technical Projects

Diamond Predictive Analytics Pricing Project 5/2015 – 6/2015

Performed extensive exploratory analysis and built a predictive model for diamond prices based on training data with diamond carat, cut, clarity and color values

San Francisco Giants Roster Optimization Project 10/2013 – 11/2013

Used mathematical formulations and statistical analysis to optimize the San Francisco Giants roster prior to the 2014 season, taking numerous variables and constraints into account Professional Skills

Proficient in: Python, R, Julia, SQL, Anomaly Detection, Access, Excel, Sabermetrics, Minitab, Lean Six Sigma, Windows Experience with: Machine Learning, Pig, Hive, JavaScript, UNIX/LINUX, jQuery, AngularJS, PHP, Ruby, MATLAB Other Interests: Playing/Coaching/Watching sports, Online Education, Foreign Languages, Tutoring, Running, Sociology

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