
Berkay Deniz
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Berkay Deniz
• Did my Master’s Thesis: “Automated Configuration of Complex Networks Using AIDriven Intent-Based Networking” (Thesis Grade: 1.3 | Scale: 1.0–5.0, 1.0 best) - under the Chair of Communication Networks at TUM in partnership with Deutsche Telekom Technik GmbH
• Worked in the ATV Division • Worked on optimizing the energy-area calculation of particular chips using Python
• Worked in the PSS Division • Carried out, evaluated, and documented measurement tasks in the low-voltage and small-signal range • Created simple programs for performing and automating measurements in Perl, Python, and C/C++ • Supported in the development of the hardware used in the laboratory • Helped with assembly (soldering) and commissioning of the hardware used in the lab
• Worked at MMIC and Power Amplifiers department • Designed a discrete microstrip coupler, 1x4 Wilkinson power divider, coupled line coupler, and a cross-coupled microstrip hairpin bandpass filter
- 7 Monate, März 2021 - Sep. 2021
Undergraduate Research Assistant
Carleton University
• Worked with Dr. Wael Jaafar, Nesrine Cherif, and the supervisor Prof. Dr. Halim Yanıkömeroğlu • Worked remotely (due to Covid-19) on 3D Aerial Highways subject
- 2 Monate, Aug. 2020 - Sep. 2020
Intern
Voiscope
• Worked at the Software Development department • Developed a sentiment analyzer program using nltk and sklearn libraries on Python • Developed a chatting program using TCP/IP protocols in C++
- 2 Monate, Aug. 2019 - Sep. 2019
Intern
Akdeniz Electricity Distribution
• Worked at Scada and Research & Development departments • Assisted the maintenance team in repairing the defective transformers
Ausbildung von Berkay Deniz
- 3 Jahre und 5 Monate, Okt. 2022 - Feb. 2026
Communications Engineering
Technical University of Munich
• Specialization Option: Communications Systems • Master’s Thesis: “Automated Configuration of Complex Networks Using AI-Driven Intent-Based Networking” (Thesis Grade: 1.3 | Scale: 1.0–5.0, 1.0 best) - under the Chair of Communication Networks at TUM in partnership with Deutsche Telekom Technik GmbH
- 5 Jahre und 10 Monate, Sep. 2016 - Juni 2022
Electrical & Electonics Engineering
Boğaziçi University
• Specialization Option: Signal Processing & Communication Systems • Undergraduate Thesis: “Classifying Brain Tumors with respect to Shape Features using Machine Learning Applications” (Thesis Grade: 4.0 | Scale: 0.0–4.0, 4.0 best), supervised by Assoc. Prof. Dr. Alpay Özcan
Sprachen
Türkisch
Muttersprache
Englisch
Fließend
Deutsch
Gut
Italienisch
Grundlagen
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