CV Gavriushenko Mariia


First name: Mariia

Last name: Gavriushenko


Gender: Female

Date of Birth:25/09/1989

Place of Birth: Kharkiv, Ukraine

Citizenship: Ukraine

Home Address: Roninmäentie 1J, 11/a,  Jyväskylä 40500, Finland;

Gagarina ave. 40, apt. 59, Kharkiv, 61140, Ukraine
Cell phone: 041 704 3437, +3 8 066 33 80 949

Home phone: +3 8 057 737 43 84
Skype: bluefairy2509


2004-2005: English department of National Courses of Ukrainian and Foreign Languages

2006-2011: Kharkiv National University of Radio and Electronics

Specialty: Intelligent Decision Support Systems

Qualification: Computer Systems Analyst.

2011 – now: University of Jyväskylä, faculty: Information Technology, program: Mobile technology and business.

Work Experience:

May 2008 – June 2008:  Waiter in the restaurant Carnaby (Hard Rock Park, Myrtle Beach, SC, USA);

July 2008 – August 2008:  Cashier in the restaurant Carnaby (Hard Rock Park, Myrtle Beach, SC, USA);

Certificates :

–          Bachelor Diploma with honors in Computer Sciences, KNURE, 2010;

–          Master Diploma with honors in Computer Sciences, KNURE, 2011;

–          Certificate of successfully graduating the Multimedia Intelligent Systems course of Kharkov National University of Electronics and Vaxjo University, School of Mathematics and System Engineering, KNURE, 2009;

–          Certificate for second place in the section “Information Management System for decision-making processes” in 14 international forum “Radioelectronics and youth in the 21 century”, KNURE, 2010;

–          Certificate for successfully participant in the European entrepreneurship seminar EVV organized by the IT’Institute and the University of Kharkiv National University of Radio and Electronics the 9 of March and the 8 of April 2010.

Professional knowledge and skills:

Computing skills:

– C;C#; ASP.NET, PHP, OWL – baseline;

– HTML, CSS, XML, XSLT, XPath, DOM – baseline;

– MS Office (Word, Access, Excel, Project, Visio, PowerPoint), Internet – advanced user;

– TopBraid, Protege – advanced user;

– MatLab – basic user;

– Windows – advanced user;

– Database softwares (Oracle, MySQL, Access) – basic level.


English – upper intermediate;

Ukrainian – native;

Russian – native;

German – beginner;

Finnish – beginner;

Professional skills:

– Providing a quality service for customers;


Driving license – category B;

Interest and Achievements:

  • Dancing ( I was a member of the dance support group at the University).
  • Skating (from 7 years).
  • Playing Ukrainian instruments and singing (I played in the vocal-instrumental ensemble during my studies at school).
  • Painting
  • Writing scripts for different activities (I wrote a good script for the New Year evening and also for the Faculty day).

Other: playing quests.

Personal qualities:

Responsible, sociable, serious attitude to carry out work is open to new knowledge and experience, active, industrious, diligent, reliable, purposeful, cooperative, diplomatic, honest, imaginative, analytical, and competent.

Annotated Bibliographies

  • Toby Segaran. Programming collective intelligence. Building Smart Web 2.0 Applications. O’Relly. Sebastopol, 2007, 368p.

Toby Segaran provides an introduction to collective intelligence. The collective intelligence includes ways how to collect interesting and useful data from users of your own application and from many web sites. The author describes many different ways to understand and to analyze data after founding. The book’s goal is to teach reader how to write a smart programs and how to use information that a lot of people collect on the web. This will open up many new possibilities.

  • Darina Dicheva, Riichiko Mizoguchi, Jim Greer. Semantic Web Technologies for e-Learning. IOS Press, 2009, 301 p.

This book is represented as a guide for researchers and developers. It concentrates on Ontologies, Technologies and Social Semantic Web. Also, it presents a view of the latest technological and theoretical advances, perspectives of application of Semantic Web and Web 2.0 technologies in e-Learning. The author describes the CITUC system in this paper as an example of a system which allows a group of students to build together knowledge by annotating and classifying various solutions to problems. This book provide some new insights and will encourage others to investigate the potential of the application of the ontologies and  Social Web technologies for the organisational needs and research endeavours.

  • Jesus Bobadilla, Fernando Ortega, Antonio Hernando, Javier Alcalá. A collaborative filtering approach to mitigate the new user cold start problem. Universidad Politécnica de Madrid, Computer Science. Madrid, Spain, 2011.

In this article a serious problem of user cold start issue is described. The author present a new similarity measure perfected using optimization, which based on neural learning. This similarity exceeds the best results obtained with current metrics. This paper includes describing how to obtain the main quality measures of a recommender system. The author use leave-one-out cross validation to ensure the greatest number of training items in each validation process.

  • Michael Miller. Cloud Computing. Web-based applications that change the way you work and collaborate online. USA, 2008, 284 p.

The author provides a good overview of cloud computing. This book is divided into four parts. One is about how cloud computing works and which types of users can best benefit from this technology. Second part is about practical benefit of cloud computing. Third part is about various types of web-based applications. The last part is about examination of other Internet-based tools for group collaboration.  This article is good for that people who want to include people from outside of their organization in their group.