Computer Science Data

AKSHATA SHIREESH NAYAK

**** ******* **, *** ****, Dearborn, MI 48126 • 248-***-****

ac007m@r.postjobfree.com • LinkedIn: www.linkedin.com/in/akshata-nayak EDUCATION

Master of Science in Computer & Information Science University of Michigan-Dearborn

[Aug 2016 – Apr 2018]

GPA: 3.95/4.0

Master of Technology in Computer Science

NMAMIT NITTE, India

[Sep 2013 - Jun 2015]

GPA: 9.7/10

Bachelor of Engineering in Computer Science

B.V. Bhoomaraddi College of Engineering & Technology, India

[Aug 2009 - Jul 2013]

GPA: 8.9/10

TECHNICAL EXPERTISE

• Programming Languages and Technologies: C, C++, Java, Python, PL/SQL, Data Structures, Embedded C, C# and.Net, Web Technologies (HTML5, CSS, Java scripts, jQuery, PHP, Perl), Data mining, Android programming, Query languages, Web services.

• Operating systems: Linux, Windows, iOS, Solaris, AIX.

• Documentation: Microsoft PowerPoint, Microsoft Excel, Microsoft Word, Latex, Notepad++.

• IDE/Platform: Weka, NetBeans, Eclipse, Code blocks, Visual Studio, MatLab, Perforce, Quality Assurance Tools, Jenkins, Postman, SOAPUI.

PROFESSIONAL EXPERIENCE

Research Assistant, Intelligent System Labs

University of Michigan-Dearborn [Aug 2016 - Present]

• Estimation of driver workload using sensors including bio harness, OBD data, Shimmer and GPS.

• Detection of Ford driver drowsiness through alertness index and TRW simulator output.

• Analysis using machine learning algorithms like Support vector machine.

• Error analysis of the false positive data and improved the accuracy by 7%.

• Improved the accuracy by 5% through combining the various target class.

• Design and development of demo programs.

Software Quality Assurance (R&D) Engineer

Informatica, Bangalore. [Jul 2015- Jul 2016]

• Awarded the Informatica silver twice for meeting the target.

• Design and development of the automation testing code.

• Creditably tested Cipher Story feature on the 10.0 and 9.6.1 HF4 versions of Informatica product.

• Test case creations and reviews for the cipher story and Kerberos authentication.

• Stress testing on the Informatica version 10.0 and 9.6.1 HF3, HF4.

• Unit and functional testing on the version 10.0 and 9.6.1 HF3, HF4.

• Achieved the target of testing 7 Emergency bug fix.

• Regression testing on the code changes of the product.

• Version control and Product documentation reviews. Akshata Shireesh Nayak 248-***-**** ac007m@r.postjobfree.com PROJECTS

Human activity recognition using smartphone sensor data An approach to classify different human activities like standing, walking, laying, climbing stairs through analysis of the sensor data from an accelerometer and gyroscope sensor of a smartphone. Data Mining, Data Processing, Visualization.

Summarizing Movie Reviews Through Opinion Mining

Opinion mining of reviews from ten standard movie review websites to get high-quality summarized opinions for real time users.

Data Mining, Pattern recognition, Language Processing, Java and Web technologies Movie Review Extractor

Movie data extractor is designed as a web crawler to extract information about the different movies from review websites.

Jsoup, Java, Web crawler and Web technologies

Family tree Mobile application

The Family Tree is an application that provides a portal to keep in touch with family. This is a client-side application which runs on mobile devices. A social networking app for mobile devices. PhoneGap tool and SQL lite.

Trap the Bulbs Android project

An Android game wherein the liked colored bulbs must be identified with the shape mentioned. Eclipse and files, Android as Technology.

Web service API Mashup (Pick Me Up)

Web service based application using RESTful and SOAP API. Combination of Google places, flight services and email API. An application to send the information for the friend to pick up at airport in one click.

PUBLICATIONS

1. Emerging Research in Computing, Information, Communication and Applications, “Discovering and Summarizing Online Movie Reviews Through Opinion Mining", Springer India, Fernandes, Roshan and Nayak, Akshata Shirish, Pg. 507-518.

2. ICETE-15 (International Conference on Emerging Trends in Engineering) “Summarizing online Movie Reviews” Fernandes, Roshan and Nayak, Akshata Shirish. 3. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET),

“Study and analysis of Opinion Mining and its applications” Fernandes, Roshan and Nayak, Akshata Shirish, Volume 3 Issue 12, December 2014.

ACHIEVEMENTS

1. Leading the web development team for TEDxUMDearborn Event 2017. 2. Voluntarily Designed app for Indian Graduate Student Association 2017. 3. Awarded with non-resident international student scholarship 2016,2017. 4. Secured 99th percentile in PGCET examination 2013. 5. 2nd place in the “Tech Titanz” A coding event during the Pleiades 2012. 6. 2nd place in android game project exhibition 2012 “Trap the bulbs”. 7. Lead Organizer of “Algo-relay” event during Pleiades 2013.

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