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Merge data Bases
“Eszter was super helful and got straight away what I needed and done it in no time. No doubt will hire again!”Andreea C. 2 weeks ago
Project for liviakecskes -- 18/07/14 18:00:46
“Esther did a really excellent job! Not only did she deliver on time and in great quality, but her open and helpful attitude made our cooperation a truly enjoyable experience. Definitely recommend her to anybody who needs the job done timely and in outstanding quality. [09 August, 2018] I really enjoyed working with Esther! Not only did she an excellent job, her proactive communication and open, helpful personality made our cooperation a truly enjoyable experience. I definitely recommend hiring her.”TundeB 1 month ago
Make a script that can copy/paste text
“Again a perferct job well done! Super fast! Will hire again for sure.”truffledk 3 years ago
scrape blue book
“EXCELLENT WORK VERY PROFESSIONAL”JDDIAMOND 3 years ago
Scrape Project - Repost
“Great Job. Thanks! Extremely fast!”tflavi2 3 years ago
QLD Part 3 of 3
“Fantastic Work, yet again. Thank you”barrywalker 3 years ago
Project ManagerNov 2012
Work coordination on the website start-up.
TranslatorOct 2012 - Mar 2014 (1 year)
Translation of the [login to view URL] website from English to Hungarian language.
Virtual AssistantApr 2011 - Sep 2011 (5 months)
Google Adwords campaign, SEO, advertising, any ad hoc work on daily basis.
Higher-level vocational training in Mediatechnology2008 - 2010 (2 years)
BSc in Computer Science and Engineering with specialization in System Administration and Software Technology2010 - 2013 (3 years)
Studies in Psychology2007 - 2009 (2 years)
MSc in Business Information Systems with specialisation in Analytical Business Intelligence2013 - 2016 (3 years)
PhD in Military Engineering (All-source Intelligence Data Analysis)2016 - 2018 (2 years)
German Certification B2 (2005)GOETHE Institue
IT Professional Language Exam C1 (2015)LEXINFO
New technologies in military surveillance: platforms and tools in the age of network-centric warfare
Situation awareness based on the collected information became the core of every 21st-century military operation. Information operations as a new domain entered the battlefield, the integrated network of sensors, weapon systems and platforms became the force multiplier. The aim of this article is to introduce the new technologies of information warfare and all-source intelligence, including federated mission networking, combat cloud, military IoT and their possible applications in the military.
A survey on data management techniques in military wireless sensor networks
Wireless sensor networks have huge potential in many areas of life. The emergence of the Internet of Things has made research into these networks of great importance. They also have proven applications in military defense, with sensors being placed on soldiers’ bodies and in battlefield monitoring systems. This article aims to elucidate and analyze current research into wireless sensor network data management techniques.
Data Mining in Cyber Threat Analysis – Neural Networks for Intrusion Detection
The most important features and constraints of the commercial intrusion detection (IDS) and prevention (IPS) systems and the possibility of application of artificial intelligence and neural networks such as IDS or IPS were investigated. A neural network was trained using the Levenberg-Marquardt backpropagation algorithm and applied on the Knowledge Discovery and Data Mining (KDD)’99 reference dataset. A very high (99.9985%) accuracy and rather low (3.006%) false alert rate were achieved.
Applying big data technologies in the financial sector
The aim of this article is to introduce a system that is capable of collecting and analyzing different types of financial data to support traders in their decision-making. Oracle’s Big Data platform Oracle Advanced Analytics was utilized, which extends the Oracle Database with Oracle R, thus providing the opportunity to run embedded R scripts on the database server to speed up data processing.
US English Level 283%
SQL Level 175%
UK English 175%
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