Data Scientist Resume Example

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Kevin Brandon

Data Scientist

Summary

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in analytics.

Skills

  • Tableau
  • Minitab
  • Microsoft Office
  • R Studio
  • Visual Studio

Work Experience

Research Assistant

University of Newyork

Present

  • Developed and lead Arduino projects based on C++.

  • Lectured on C++ to approximately 200 students.

  • Assisted faculty with in-depth data research in both lab and office environments.

  • Used Excel to enter data into project database and provided updates on weekly basis.

  • Validated incoming data to check information accuracy and integrity while independently locating and correcting concerns.

Lead Data Analyst, Web Developer, and Communications Liaison

Bank of America

Oct 2019

  • Analyzed demographics of students at Dearborn and keynote speakers to optimize UI.

  • Tested websites and performed troubleshooting prior to deployment.

Data Analyst and Business Intern

ExxonMobil

Aug 2017

  • Analyzed different aspects in Blockchain to incorporate parking availability for the citizens of Detroit.

  • Planned and conceived computer systems using information engineering, data modeling and structured analysis.

  • Expedited industry-wide recognition, company awareness, and valuable insights for Detroit

  • Used programming capabilities in PHP, SQL and JavaScript and other libraries as needed.

  • Researched new technologies, software packages and hardware products for use in website projects.

  • Applied knowledge of data modeling and statistical analysis to note trends and draw conclusions.

Education

Data Science

San Jose State University

Present

  • Member of SWE

  • Dean’s List Winter and Fall 2019

  • Coursework in Computational Analytics, Data Analytics/Management and Algorithms and Design

Project

Mass Shootings Model

  • Formulated data regression analysis of the relationships between 5 factors of the offender and 60 years of mass shooting data
  • Analyzed complex data sets using R and RStudio to identify errors and remove outliers in data
  • Developed a confidence bootstrapping model to forecast most unsafe cities for specific genders, mental health, motives, ages, and the year
  • Researched various systems to maximize prevention of mass shootings for populated cities

STEM Research Model

  • Created multiple regression models using Tableau and Minitab to analyze the correlation and trends between STEM, race, gender, and student demographics across the U.S.
  • Identified STEM majors with the largest growth of female students and workers
  • Discovered that states with a higher number of businesses and incomes increases number of women earning STEM degrees

Languages

  • English
  • French
  • Arabic
  • German

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