Emma Bright

I'm a

me

Hi! I'm Emma.

I'm a data specialist with a wide range of experience in data including analytics, visualization, database organization and management, and data governance. Prior to joining Charles Schwab, I worked at the National Science Foundation (NSF), Office of Inspector General as a Senior Data Analyst and later a Data Analytics Project Manager. During my tenure at NSF, I was responsible for performing advanced analytical work on suspected cases of fraud, waste, and abuse and for leading the development of advanced business analytics solutions that collect, analyze, and enhance NSF data. I graduated with honors from James Madison University (go Dukes!) where I studied Computer Science and Mathematics and I'm currently working through my M.S. in Data Science at the University of Denver. When I'm not busy with work or school you can find me walking my two pandemic pups, struggling through a Pilates class, or sipping wine with friends at a wine bar in Denver!

PYTHON
DATA ANALYTICS
PROJECT MANAGEMENT
DATABASES
DATA VISUALIZATION
WEB DESIGN

Education

Masters of Science, Data Science

2020 - 2022

University of Denver, Denver, CO

Provides an in-depth understanding in critical competencies such as data mining, artificial intelligence, machine learning, data visualization, and database organization and management.

Bachelors of Science, Computer Science

2010 - 2014

James Madison University, Harrisonburg, VA

Minor in Mathematics. This comprehensive program included education in designing and building software, developing effective ways to solve computing problems and providing new approaches to security problems, and devising new and better ways of using computers and addressing particular challenges in areas such as mobile computing, robotics, artificial intelligence, web-based systems, or digital forensics.

Professional Experience

Data Analytics Project Manager

2020 - Present

National Science Foundation, Office of Inspector General

  • Responsible for architecting and developing business intelligence solutions that collect, analyze, and enhance data to yield actionable information through reports, dashboards, and other visualizations
  • Collaborate with business stakeholders and IT to define business objectives and devise technological solutions that achieve business goals and meet operational requirements.
  • Provide supervision, guidance, and training to analytic and development teams.

Senior Data Analyst

2016 - 2020

National Science Foundation, Office of Inspector General

  • Scrubbed, normalized, modeled, and analyzed large datasets involving suspected cases of fraud, waste, and abuse.
  • Prepared a variety of reports, dashboards, and data visualizations for use by staff and senior leadership.
  • Recognized by my organization and the OIG community for designing, coding, and implementing a Python-based analytics tool that downloads, reads, and performs text analysis of unstructured data. This tool has saved $10,000 per year in software procurement costs and hundreds of hours normally required to perform manual analysis of the text.

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NSF OIG UNVEILS AUDIT TOOL THAT CAN MINE TEXT DOCUMENTS

Learn more about the text mining and analytics tool I developed for the NSF OIG!

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WOMEN'S RIGHTS

Test Project