Senior Systems Engineer Resume

SUMMARY:

Graduate student with over 2 years of experience involving multiple tools and technologies, the technical expertise varies through programming, Software Testing Life Cycle (STLC), implementation and task management in Media & Telecomm Services domain. Proficient in data analysis and visualization, Java Programming, RDBMS and Manual Testing.

TECHNICAL SKILLS:

Programming: Java, SQL (RDBMS),, R Programming, Python (data analysis and visualization),Spring, Hibernate

Database: MS SQL Server 2017 & 2012, MySQL Server, PostgreSql

Scripting languages: JavaScript, HTML, XML, CSS, RESTful web services, Node JS, jQuery

Tools: Eclipse IDE, WebSphere server, Apache Tomcat, HP QC, HP ALM, MS Office Suite, Sql Server Management Studio (SSMS), MySQL, PostgreSql, Erwin Data Modeler, Lucid Chart.

PROFESSIONAL WORK EXPERIENCE:

Confidential

Senior Systems Engineer

Responsibilities:

Involved in Manual Testing of Sling boxes ( Confidential ) by virtually connecting to the Confidential in the client environment.
Performed manual testing of the Web based application on windows desktops and laptops, apple MacBook and desktops and even in mobile devices.
Involved in mobile application testing developed on various platforms including android, iOS on most of the handheld devices including android smartphones, tabs and iPad.
Documented the tracked defects while performing the testing process in HP ALM and logged the defects as per the defect type, assigned priority to the defect and reported it to my manager and the development team.
Active participant as a Senior Manual Tester in daily Scrum meeting with the onshore and offshore team to discuss the project status and plan for the next day and after every Sprint cycle closure, participated in Sprint review meeting to discuss about the work done and discuss about the improvements that can be made.
Involved in all phases of Software Testing Life Cycle (STLC) such as requirement analysis, test planning, test case development, environment setup, test execution, test cycle closure.
Was rated as one of best team performer 3 times continuously by the Project Manager and Senior Project Manager for my contribution towards the project and was awarded, valuable performer award once.

Confidential

SAP Project Manager

Responsibilities:

Implemented the functionalities required for a company’s Employee Payroll using and PostgreSql & MS SQL Server 2017.
Spearheaded the entities and attributes involved in this project and redesigned paperwork to an automated suite.
Created an ER Data Model going through Conceptual, Logical & Physical Phase using Erwin Data Modeler & Lucidchart.
Established with relationships between tables and data being normalized, the chances of error in the database have been reduced to a minimal value.

Confidential

SAP Project Manager

Responsibilities:

Created the backend using MongoDB which stores unstructured, documented data.
Implemented the Web Application’s Business Logic in Node.js using JavaScript, Jquery and AJAX for creating static and dynamic content.
Implemented the Frontend using HTML5, CSS3 for cascading. For Scripting tags, used Handlebars and JSPs along with bootstrap for more page styling.

Confidential

SAP Project Manager

Responsibilities:

Collected raw data from an Confidential website and did Confidential Analysis on the raw data to remove unwanted fields and other extraneous data which we do not need for our analysis.
Implemented several data mining algorithms like KNN, K Means Clustering, to determine the boroughs with the highest and lowest accidents date.
The resultant data helped us to identify which borough was having the highest accident rates, along with type of vehicle involved in the accident and also the time period in which the accident took place. By doing this, we can create counter measures to eliminate accidents in the accident prone areas.

Confidential

SAP Project Manager

Responsibilities:

Collected raw data from diabetes.org which provided data about people having diabetes, type of diabetes, age group, race, type of medication taken.
Implemented Data Visualization using Python as the scripting language and used PYPLOT, PANDAS, NUMPY, WORDCLOUD, MATPLOT to create tables, charts and histograms to visualize, age vs type of diabetes, race vs type of diabetes, type of diabetes vs type of medication, in order to determine which race and age is diagnosed with what type of diabetes and their medications taken and whether cured or not.
Helped to analyze which medication helped people to diagnose the type of diabetes and also helped determine which age group and race had more diabetes.

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