Engineering Data

KRUPA MARAKA

Address:**** ****** ******, *** #**, San Jose, CA 95126 Phone:408-***-**** Email:acu78i@r.postjobfree.com

Objective: To obtain an internship position in an organization where I can best utilize my skills and education for the mutual growth.

Education:

Master of Science in Software Engineering May 2016

International Technological University, San Jose, CA GPA: 3.47

Bachelor of Engineering in Electrical and Electronics Engineering August 2009

Visvesvaraya Technological University, Belagavi GPA: 3.36

Technical Skills:

Programming Language: C, C++, Java, Python

Web Development: HTML5/CSS3, Javascript, Server Programming with PHP

DBMS: Oracle database management, SQL

Operating System: Windows, Linux

Relevant Coursework:

Data Structures Python Programming OOPs with java

Big data Software Engineering Advanced Software Engineering

Javascript Oracle database management HTML5/CSS3

Server Programming with PHP Ruby on Rails Numerical Analysis

Academic Projects:

Automated Courier System – Java, Mysql, HTML, CSS, Javascript (June 2015 - Sep 2015)

●The system maintains a centralized database with all necessary information

● Information can be accessed by all authorized parties

●Created a module which monitors hack’s movements and updates the system database dynamically with hacker’s information

Stack Overflow Data Analysis: HDFS (Hadoop Distributed file system), MapReduce

Insights that can be extracted from the Data sets:

●Find out top N users who have made more number of comments?

●Find out top N most reputed users (using the reputation score)?

●Find out which all regions of US are talking actively about Java?

●Find out the average length of comments that are getting uploaded to Stackoverflow.com every hour?

HR Planner: A System to Facilitate and Supplement the Work of HR Officers

The HR Planner is a tool designed to alleviate the bookkeeping duties of HR officers and facilitate many nontrivial HR related tasks. HR Planner intelligently aggregates information on projects and employees and generates intuitive and user friendly visualizations of the data.

Mini Project: Linear Regression model AUTO MPG data Analysis:

The objective of this project to find the strength of the relationship between the two key variables using Linear Regression Model.

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