Engineer Software

Jason Michael Grebe

*** ********** ****** *** *, Kansas City, Missouri 64124 816-***-**** ***********@*****.*** PROFESSIONAL SUMMARY

Analytical software engineer with hands-on development within all levels of full-stack agile development, including design, maintenance, integration and testing. Supportive team player dedicated to vigorously streamlining processes and efficiently solving problems. Willing to take ownership of core components and project for innovative results. SKILLS

Agile/Scrum methodology

RDBMS including mySQL

Performance and algorithm analysis

Fluent in C++ and Java, among others

Resilient, problem-solving communicator

Data warehousing and analytics

Website development (PHP, JavaScript, HTML5,

CSS3, jQuery, JSON, etc. )

UI/UX design and optimization

Responsive Web Design including Bootstrap

EDUCATION

Bachelor of Science: Electrical & Computer Engineer. Expected 12/2019 GPA: TBD University of Missouri-Kansas City – Kansas City, Missouri Master of Science: Data Science, Completed 12/2017 GPA: 3.40 University of Missouri-Kansas City – Kansas City, Missouri Bachelor of Science: Computer Science Completed 05/2016 GPA:3.491 University of Missouri-Kansas City – Kansas City, Missouri Associate of Arts: Business Completed 05/2013 GPA:3.433 Metropolitan Community College – Kansas City, Missouri COURSES

Object Oriented Design

Data Structures

Network Security

Cryptology

Server/Client Apps & Programming

Human/Computer Interface

Software Methodolgies & Tools

Website Development

Parallel Algorithms

Networking Architecture

Algorithm Analysis

Architecture of Database Mgt Systems

Internet of Things

Principles of Big Data Management

Operating Systems

TECHNOLOGIES AND LANGUAGES

C++

Java

HTML5

PHP 7

CSS 3

MySQL

Hadoop

Spark

MATLAB

Python

jQuery

Bootstrap

Clojure

Schema

Scrum Methodology

REST

RMI

GIT

SVN

Microsoft Project

VisualStudio 2010/13/15

NetBeans

Eclipse

Raspberry Pi

ACCOMPLISHMENTS

Developed a Content Management System for The Farmhouse, decreasing wine locating by minutes at a time and increasing customer satisfaction. Decreased time required to reorder wines by 50%, enabling more accurate inventory controls and efficient correlation of data, allowing management to focus on other requirements

Increased efficiency of procedures used to wash dishes, allowing for a 25% decrease in overhead

Decreased product costs by up to 35% by negotiating prices with vendors, while simultaneously decreasing labor costs by $50,000 annually

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