Professional Experience Information Systems

Ryan Li

** ********** ** *******, ** ***** 240-***-**** *********@*****.***

EDUCATION

Robert H. Smith School of Business, University of Maryland, College Park, MD May 2017 Master of Science in Business, Information Systems GPA: 3.43 University of Maryland, College Park, MD May 2016

Bachelor of Science, Information Systems & Operations Management

Minor: Business Analytics

PROFESSIONAL EXPERIENCE

University of Maryland, College Park, MD Jan 2015 – May 2017 Teaching Assistant

Lead weekly lab sessions to provide students with hands on learning activities through lab assignments

Cooperate with professor to improve learning experience of over 120 students throughout 4 semesters

Help teach students essential topics in SQL and relational database management systems through lab sessions Magellan Health & Services, Colombia, MD Jun 2015 – Aug 2015 Business Analyst Intern

Revamped error tracking process by documenting process to make solving same future errors more efficient

Reduced number of errors in data warehouse by over 70% by conducting hundreds of queries per week and making changes in Oracle database

Collaborated with intern to conduct presentation to CIO to demonstrate how the project improves the data warehouse’s speed of data retrieving and accuracy

Pivotal Practices, Greenbelt, MD Jun 2014 – Dec 2014 Intern

Researched government contracts matching the company’s capabilities to identify potential business opportunities

Collected and analyzed data from FEDVIEW Survey for the president to present to potential clients

Mentored and collaborated with incoming intern about daily processes and marketing the company for business Academic Projects

School Rankings Database Application Oct 2016 – Dec 2016 Database Systems

Designed relational database solution from Entity-relationship diagrams to Relational Schemas using Visual Basic and SQL Scripts to produce an application that informs decision-making through view and sort of data Expedia Recommendations Oct 2016 – Dec 2016

Big Data

Stored and processed Expedia’s dataset with over 3 million records on AWS’s S3 storage infrastructure and a Hadoop cluster prior to analyzing data with Hive and Pig scripts to build a predictive model on customer behavior with Spark March Madness Predictions Apr 2017 – May 2017

Data Mining and Predictive Analytics

Collected past data with 60+ predictors on basketball teams in the NCAA Tournament to make predictions about which teams will win the championship, make the Final Four, and Sweet 16 with six different predictive models including logistic regression, k-means clustering, CART, Naïve Bayes and lasso regression ADDITIONAL INFORMATION

Skills: SQL, Visual Basic, Microsoft Access, Oracle, R, Agile Methodology, Python, AWS, Tableau

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