FEBI ELGIVA KENNEDY

ACHIEVEMENTS

• Honored by California State University, Los Angeles, US with “Special Recognition Award” for excelling in academics.

• Awarded as ‘Best Outgoing Student’ by Saveetha Engineering College, Anna University, India

• Rank Holder of Anna University Undergrad Examination under department of Computer Science, India ac0jm2@r.postjobfree.com +1-626-***-**** LinkedIn GitHub EDUCATION

Master of Science in Computer Science, California State University Los Angeles, US (GPA : 3.8) Aug 2015-May 2017 Bachelor of Engineering in Computer Science, Anna University, India (GPA : 8.65) Aug 2010-May 2014 EXPERIENCE

Graduate Teaching Assistant - California State University, Los Angeles, US Jan 2017-May 2017

• Instructor for Java Programming Paradigms in Computer Science Department Graduate Assistant - California State University, Los Angeles, US Aug 2016 -Dec 2016

• Tutored Corporate finance in Department of Finance and Law. Programmer Analyst - Cognizant Technology Solutions, India. July 2014- Aug 2015 Technology: Mainframe Tools: TSO, SPUFI, Citrix

Languages: JCL, COBOL, VSAM, DB2, CICS Client: MetLife

• Developed a tool to automate the pre-production jobs and notify the appropriate leads to avoid production abends.

• Performed Unit,Regression testing for the Product Remediation modules and played a major role in monitoring and logging the Incidents. TECHNICAL SKILLS

Languages : C, C++, C#, Java, Cobol, JCL, Python, Haskell Web Technologies: CSS, HTML, XML, JavaScript, JSP, jQuery, Query Languages: SQL, JPQL, HQL PHP, AJAX, BootStrap, JSTL, Database: My SQL, DB2, MongoDB, SQLite,Postgresql Framework : Spring, Junit Tools: Eclipse, Kibana, Sense, IPython NoteBook, Spyder, GitHub, ORM: Hibernate Android Studio, SQL Work Bench, Unity3D, Adobe Photoshop, Version Control: Git Microsoft Visual Basic, Rational Rose, FileZilla,MonoDevelop Design Patterns : Factory, Strategy, MVC Operating System: Windows, Mainframe Z/OS, Unix Server: Apache Tomcat, Elastic Search Build Tool: Maven,Gradle

RELEVENT ACADEMIC PROJECTS

• Artificial Intelligence Path Finding(Tron Battle) Aug 2016-Dec 2016

[MinMax Algorithm,Alpha Beta Pruning,FloodFill,DFS,BFS,A* Algorithm,Java 8,Gradle,JUnit] Developed an AI bot that will compete with other AI bot to survive in the board for the longest duration. It uses min max algorithm to find the next best move by evaluating each move using flood fill algorithm.

• First Person Shooter Game Aug 2016-Dec 2016

[C#, Unity3D, Graphics, 3D Modeling & Animation, AI, Waypoint Graph & Navigation Mesh, Path-finding Algorithms, MonoDevelop] A 3D Shooting three level Game that hits the enemy using its magical power through first person perspective.

• Trip Capsule Aug 2016-Dec 2016

[JSP, CSS, HTML5, Java 8, JSTL, MySQL, JavaScript, JQuery, AJAX, Bootstrap, AngularJS, Eclipse, SQLWorkBench, Spring, Hibernate, MVC Pattern, Google Map APIs]

A Web Application that provides trip planning services with the help of Google Maps APIs and provides crime data statistical analysis to alert the user about the crime.

• Big Data – Taxi Trip Dispute Predictor Mar 2016-May 2016

[Java 8, Amazon Elasticsearch Services(AWS), Kibana, Sense, Eclipse, D3.js,MongoDB, ElasticSearch, MySQL, Gradle,Apache Lucene] Performed Exploratory Data Analysis(EDA) using visualization tool Kibana on the data (collected from twitter feeds, web scraping, API calls) stored in Elastic Search Client.

• NearBy Friends App Mar 2016-May 2016

[Java 8, SQL, PHP, Android Studio, SQL Work Bench, FileZilla, Cloud Hosting -GearHost, MySQL, Google Map APIs] An Android App that helps to find the location of user’s friends with the use of Google Maps APIs and online Database

• Building a Web Search Engine Jan 2016-Mar 2016

[Java 8, JSP, HTML, Eclipse, MongoDB, Maven]

A Text based Web Search Engine that performs web crawling, data extraction & text processing, ranking & indexing (using Apache Lucene Library) to fetch the relevant pages on the Wiki-large data.

• High blood Pressure Predictor for smokers Jan 2016-Mar 2016

[Python(Library - NumPy, Pandas), Spyder, IPython Notebook] Performed machine learning analysis to predict whether a smoker will have high blood pressure or not.