Computer Science Software

HEMALI WAGHODE

Linkedin profile: www.linkedin.com/pub/hemali-waghode/3a/3b4/434/en

Santa Clara, CA 95050 Email: ******.*******@*****.*** Contact: 916-***-**** OBJECTIVE

Seeking full-time positions from December 2015 in Computer Science field where I can apply my strong programming and software development skills.

SKILLS

JAVA C++ C R PHP Javascript Python Ajax Jquery MySQL Java Swing API Java Hibernate Hadoop Map-reduce Pig Hive Sqoop Flume Mahout Weka Shell script HTML CSS EDUCATION

Masters of science in Computer Science, Santa Clara University, CA, USA Jan 2014 - Present GPA: 3.8/4.0

Coursework: Big data, Design analysis of Algorithms, Advanced Database Management Systems, Web programming, Web Search and Information Retrieval, Object Oriented Programming Bachelor of Technology in Computer Science, SGGSIET, India Aug 2008 - Jul 2012 GPA: 3.6/4.0

Coursework: Distributed computing, Data Structures, Object Oriented Programming, Computer Algorithms, Java

Independent Coursework:

Cloud Computing with AWS, Big data and Hadoop

INDUSTRY EXPERIENCE

Software Engineering Intern at Zscaler (June 2015 to present) :

• Working on improvement of DLP’s topical dictionaries.

• Developed scripts to collect and pre-process corpus information.

• Implemented machine learning algorithms for extracting features from training corpus and further evaluating DLP dictionaries for false positives and false negatives. ACADEMIC PROJECTS

Multimedia software for visually impaired kids:

• Using Java Swing API and Java MVC model created ‘Learning Software’ for visually impaired kids.

• The maze game had multiple levels and themes.

Sentiment Analysis on Amazon Review dataset:

• Problem statement: to classify Amazon movie Reviews into positive and negative reviews.

• Used Naïve Bayes Classifier on two different platforms, Mahout and Weka,and compared performance. Movie Recommendation System:

• Implemented User-based Collaborative Filtering and Item-based Collaborative Filtering Techniques for movie Recommendation.

• The dataset consisted of 200 users ratings for 1000 movies each. Online Tetris game:

• Used HTML, CSS, JavaScript, PHP, MySQL for the overall functionalities.

• The game stores the best score of each user and displays high-scores list as well. INDEPENDENT PROJECTS

Reddit Review using Hadoop elements:

• Analyzed the publicly available datasets from reddit.com to find out the top rated site and most positively reviewed site.

• Used Hadoop, Pig, Hive, Sqoop and MySQL for the overall analysis.

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