Brief resume
| Full name | Skidanov Nikolay Evgenievich |
| Date of birth | 4 August 1996 |
| Place of birth | Sumy |
| School (s) | Donetsk school # 8 2003-2004, Donetsk school # 7 2004-2007, Makeevskaya school # 59 2007-2012 |
| Technical school | Donetsk Technical School of Industrial Automation 2012-2016, Automation of technological processes and production (by industry) |
| University | DonNTU 2016-2019, Management in technical systems (academic bachelor) DonNTU 2019-2021, Management in technical systems (master) |
| Average grade | 4.8 |
| Languages | English (basic) |
| Personal achievements | Participant of the Olympiad from Yandex «Я-Профессионал» towards «Management in technical systems» with a result of 72 points
Winner of the Republican Event «Из виртуальности в реальность» 2018 |
| Hobbies | Computer games, music, programming, technology |
| Personality | Honesty, punctuality, responsibility, communication skills |
| Professional specialization and computer skills | 1. Operating systems: Windows XP, Windows 7, Windows 10, Windows Server R2012, Linux Ubuntu, Linux Kali, FreeNAS
2. Professional skills: Experience in system administration, networking skills, installation of digital and analog video surveillance, microcontroller programming, automation design, PC assembly and configuration 3. Software: MATLAB, Compass, SolidWorks, Autodesk Maya, ZBrush, Unity 3D 4. Development environments: CoDeSys, Visual Studio, Anaconda, Arduino IDE, Adobe DreamWeaver 5. Programming languages: C ++ / C #, Python, Matlab, JavaScript, FBD |
| Additional courses, internships, grants | HTML Fundamentals Course
CSS Fundamentals Course JavaScript Tutorial Course PHP Tutorial Course SQL Fundamentals Course Neural Networks and Computer Vision SSH Tricks |
| Work experience | State Research Institute "Avtomatgormash named after A.V. Antipov", Donetsk, design engineer of the 1st category, March - June 2019
Sergiev Posad ZSMK LLC, Sergiev Posad, Russia, system administrator, September 2019 - Until now |
| Future plans | Get a master's degree, study in more detail the topic of neural networks and AI, as well as learn how to process Big Data |
| Contact information | Skype: nick_0408 |