Python, MS SQL, MySQL, Tableau

Marc Nipuna Dominic Savio

***********@*****.*** +1-818-***-****

LinkedIn: https://www.linkedin.com/in/marcnipuna

OBJECTIVE: A US Green Card holder, highly self-motivated, fast learner seeking internship or entry level opportunities in the field of Computer Science. EDUCATION & CERTIFICATIONS:

Master of Science in Computer Science (GPA: 3.52) Dec 2016 San Jose State University, San Jose

Bachelor of Engineering in Computer Science and Engineering (GPA: 3.11) April 2013 St. Joseph’s College of Engineering, Chennai, India Certified in HTML & CSS - UCLA Extension March 2014 Certified in Java Programming - UCLA Extension June 2014 TECHNICAL SKILLS:

Programming/Framework: C, Java, Python, R, Hadoop

Web Programming Languages: HTML, CSS, JavaScript

Platforms: UNIX, Linux & Windows

Relevant Courses: Data Structures & Algorithms, DBMS, Big Data Analytics Database: SQL Server, MySQL

Tools: Tableau, Splunk, StarUML, MS Word, Excel, PowerPoint, SQL Server Management Studio

WORK EXPERIENCE:

Software Development Engineer Intern at HPE, Sunnyvale, CA Jun 2016 – Aug 2016 ACADEMIC PROJECTS:

Predicting User’s Future Request Using Frequent Patterns, SJSU FALL 2016

• Analyzed NASA’s web log for Frequent Patterns and implemented through Python by using Frequent Pattern Itemsets & Apriori Algorithm to maintain order in the Frequent Patterns Computer Vision – Face Recognition on BioID Face Dataset, SJSU SPRING 2016

• Used OpenCV libraries and Python to create a software that would detect facial features, compare with the DB and recognize the person with a confidence score and features matched Cryptography: Software Reverse Engineering, SJSU FALL 2015

• Used a debugger and disassembler to bypass certain security aspects and made a 30-day trial software to work permanently

BIG DATA: Analytics of IMDb Dataset, SJSU SPRING 2015

• Used Java and Unix to preprocess the IMDb dataset of 2.1GB and analyzed it by performing several queries to find interesting analytics using Splunk BIG DATA: Analytics of Yelp Challenge Dataset, SJSU SPRING 2015

• Manually installed HADOOP cluster on GoGrid, loaded the Yelp Challenge dataset of 1.6 GB into HDFS and performed several queries which derived useful and interesting insights Randomized Binary Search Tree, SJSU FALL 2014

• Implemented using Java to ensure that the Randomized BST manages the shape and height of the tree properly and guarantees log N performance

ACTIVITIES:

• School President during Senior year in School

• Secured MERIT in Grade 1 and Grade 2 in Electronic Keyboard examinations conducted by Trinity School of Music, London, England

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