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Computer Science Data

Location:
Arlington, VA
Posted:
February 10, 2014

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Resume:

MUSIE MEDIN

***** ***** **** *** ***** Marlboro, MD 20774

***-***- **** accl19@r.postjobfree.com m

● EDUCATION

University of Maryland December 2013

Bachelor of Science, COMPUTER SCIENCE

W ith Math and S tatistics Concentratio n

● TECHNICAL SKILLS

- Java, Spring, Hibernate, Servlet, JSP, M aven, XML, M VC - C, Linux/Ubuntu, Windows

- JavaScript, JQuery, AJAX - SQL MySQL

-HTML, CSS - Ruby, Python

-SAS

● WORK EXPERIENCE

S oftware Engineering /Data Visualization in MIND Lab, UMIACS May 2013 - December 2013

University of Maryland College Park, MD

Application Developed: W orked on an A pplication to be u sed b y Researchers Working on Magnetic Field Data to:

-Submi t Data in CSV format to be Stored into a MySQL Database from a Browser.

-Analyze Data from a Browser Using Statistical Analysis Software (SAS).

-Find Patterns : A pply SAS Visualizations Techniques and K-means b y looking at a 2D/3D of the 6D DATA .

Technologies Used:

- Frontend: HTML, CSS, JavaScript -

- Backend: Java, Spring, Hibernate, JSP, Servlet, Maven, MySQL, Tomcat, XML

- S tatistical Analysis : SAS

- Machine Learning Analysis : K-Means Algorithm

● COURSEWORK

Concurrency

- Implemented simulations that show dangers and advantages of concurrency.

Data Structures

- Developed PR q uad tree and PM q uad tree d ata structures.

Algorithms

- Covered complexity of algorithms of sorting, graphs, and trees .

Machine Learning

- Implemented some Supervised Algorithms (Decision T rees, Perceptron, and Linear M odels ) and Unsupervised Learning

. A lgorith ms (K-Means.)

Database Design

- Designed and implemented databases with Triggers and Indexes.

S oftware Engineering

- Discussed Structured Design and Programming, Top -Do wn Design and Development, Design and Code Inspection

. Techniques, Correctness, and Development of a Large Software Project.

Non-Computer Science Coursework

- M athematical Modeling and Finance, Linear Algebra, Statistical Computing, and Applied Statistics.



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