Microsoft Office Data

Mariah Harvey

**** *. *** ******, ******, Texas *8702 • 509-***-**** • ********@************.***

EDUCATION

Master of Science in Government Analytics, Focus in Statistical Analysis (August 2016)

Johns Hopkins, Washington, D.C.

AAUW Fellow, Summa Cum Laude

Bachelor of Arts in Economics, Math Minor (June 2013)

Seattle University, Seattle, WA

Bellarmine Scholarship, Deans List Honor Roll, President’s List for Business and Economics

RELATED EXPERIENCE

Data Analyst (August 2016-Present)

eyeQ Insights, Austin, TX

Building dashboards and automated reports with Python, R, JavaScript, and HTML/CSS, to effectively communicate key data insights to clients

Querying Big Data from MongoDB with NoSQL in order to successfully and efficiently extract the correct data for analysis

Cleaning, transforming, and merging large datasets with Python and R for statistical research and machine learning models

Research Intern (January 2016-March 2016)

The Brookings Institution, Washington, D.C.

Developed Python and R scripts to effectively gather, clean, and analyze data for the JP Morgan Chase Global Cities Initiative and ad hoc research projects

Contributed to reports by creating relevant data visualizations in R and Excel to clearly communicate data analysis findings.

Conducted economic analysis using unsupervised machine learning and statistical methods to draw conclusions about the effect of minimum wage increases across different metropolitan areas.

Business System Solutions Specialist (September 2013-June 2015)

Level 3 Communications, Tulsa, OK

Cleaned and manipulated large data sets in Toad for SQL Server and Excel in order to create pivot tables so that return on investment can be recognized if current locations of telecom equipment were augmented. Utilized SharePoint to disseminate information to middle management for decision-making processes.

Developed a back-end/front-end database in Access to track incoming and outgoing telecom equipment. Trained the Starbucks Logistics team to utilize and manage equipment database to increase efficiency and decrease profit loss.

Audited telecom records kept in a series of house-built applications tied to Oracle databases in order to ensure data integrity and consensus with outside vendors.

SKILLS

R, Python, NoSQL, SQL, JavaScript, Microsoft Office, MongoDB, Hadoop, HTML/CSS, Adobe Illustrator, SPSS, Tableau Public, Google Analytics, Salesforce, AWS (EC2, HPC), Git

MEMBERSHIP

Women Who Code, Member (2015-Present)

American Economics Association, Member (2012-Present)

Contact this candidate