kevin brandon data scientist summary data scientist familiar gathering cleaning organizing data use technical nontechnical personnel advanced understanding statistical algebraic analytical techniques highly organized motivated diligent significant background analytics experience research assistant university newyork sep 2019 present developed lead arduino projects based c lectured c approximately 200 students assisted faculty indepth data research lab office environments used excel enter data project database provided updates weekly basis validated incoming data check information accuracy integrity independently locating correcting concerns lead data analyst web developer communications liaison bank america sep 2018 oct 2019 analyzed demographics students dearborn keynote speakers optimize ui tested websites performed troubleshooting prior deployment data analyst business intern exxonmobil jun 2017 aug 2017 analyzed different aspects blockchain incorporate parking availability citizens detroit planned conceived computer systems using information engineering data modeling structured analysis expedited industrywide recognition company awareness valuable insights detroit used programming capabilities php sql javascript libraries needed researched new technologies software packages hardware products use website projects applied knowledge data modeling statistical analysis note trends draw conclusions projects mass shootings model formulated data regression analysis relationships 5 factors offender 60 years mass shooting data contact inforesumekraftcom 2025550120 chicago illinois us linkedincomresumekraft software tableau minitab microsoft office r studio visual studio technical r sql python c education data science san jose state university sep 2018present member swe deans list winter fall 2019 coursework computational analytics data analyticsmanagement algorithms design certification data science python 20190719 llamasoft data management 20190513