Computer Science Management

Shubhanshu Sharma

Cell No. : 980-***-****

E-mail: *****.********@*****.***

Summary

Trust worthy team player with right attitude and necessary aggressiveness.

Ability to rapidly learn new concepts together with excellent interpersonal skills and worked effectively both independently and as part of a team on javascript and front-end projects.

Technical Skills

Programming Languages

C, C++, Java, SQL

Scripting Languages

JavaScript

J2EE Technologies

JSP, Servlets, EJB(Basic), Web Services(JAX-WS), Spring Rest, Spring SOAP, Spring JMS.

Management

IT Service Management, Requirements Gathering and Analysis

Front-end Technologies

HTML, HTML5, CSS, Bootstrap 3, JavaScript, jQuery, AJAX, D3, Angular JS, Grunt, Gulp, npm.

Back-end Technologies

NodeJs, EmberJS, Spring MVC, PHP (laravel)

Databases

Microsoft SQL Server2005/ 2012, MySQL, Teradata 13.1, Oracle, BO (Business Object), Putty, Weka, Rapid Miner,NoSQL.

IDE

Eclipse(Java), WebStorm(javascript)

Operating Systems

UNIX/Solaris, Linux, Windows

Tools

MATLAB, Data Stage 8.7, GitHub,Star UML, WinSCP, Tomcat, Android SDK, Eclipse, MS Visual Studio, Basic knowledge of PEGA

Education

MS in Computer Science from University of North Carolina Charlotte, Charlotte in Dec 2015 with GPA – 3.6.

Bachelor of Technology in Electronics & Communication Engineering from Ambedkar Institute of Advanced Communication Technologies & Research in 2014.

Academic Projects

MS Computer Science:

Developed Health Care Management - A Java based project which handles all the technical work from doctor’s appointment to patient’s history.

Developed E-Health Care Management - A website developed in JFrame and JavaScript, in which online consultancy can be provided to the patients in case of certain diseases that can be dealt in an online session with the doctors or an online message response. An appointment is also booked if needed.

Front end part mostly done in HTML, CSS and JavaScript was handled and developed solely by me.

Developed various projects in core java like the designing of an interactive game Connect 4, familiar with socket programming in java.

Worked on data visualization system that uses D3 and JavaScript for visualizations.

BTECH Electronics & Engineering:

Projects :-

Adaptive Image Contrast Enhancement Using Histogram Equalization:

A MATLAB based project that deals with improving the quality of an image using adaptive approach in which parameters used to enhance the image are decided instantly with a specific approach and are not predefined as in normal histogramic equalization.

A Linear Dynamical System Framework for Salient Motion Detection:-

Detection of salient motion in a video involves determining which motion is attended to by the human visual system in the presence of background motion that consists of complex visuals that are constantly changing.

Professional Experience

Worked as a Software developer in Spectranet Pvt. Lmt., India June 2013- May 2014

Responsibilities:

Meetings with business teams to gather requirements and created software design specification (SDS) for the project using UML diagrams.

Here I wrote code in HTML, CSS, and JS to develop UI screens in the java web application.

Created design mockups, product visuals, story boarding and behavioral documentation.

Designed and developed solutions for complex software user interface design.

Tested and usability review of new designs.

I was vigorously involved in each phase of the SDLC (analysis, design, development, testing and deployment), and I was responsible for code optimization and testing across browsers.

Used HTML, DHTML, CSS, TFS, Visual Studio and JavaScript to develop front end web pages.

I also designed innovative and creative solutions to meet current and future needs.

Involved in code review for other team members.

Environment: HTML, CSS, JavaScript, XML, Ajax, JSON,Java, Eclipse.

Training in Radar Technologies from Bharat Electronics Limited Jan 2013 – May 2013

Study of radar systems and its application in moving object detection.

Monitoring automated embedded coding in radar systems.

Study of existing technologies and suggestions to improve it.

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