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Flag of Turkey Ankara, Turkey
Member since July 28, 2017
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Machine Learning and Data Processing Ms. student at the University of Southern California. Electrical and Electronics Engineer. Had plenty of research and industrial experience related with ML and Signal and Image Processing since 2013.
$30 USD/hr
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Classification of Alzheimer's Disease and MCI with Machine Learning and Neural Networks

Aug 2016 - Dec 2016 (4 months)

Key Skills: Python, Tensorflow, MRI Data Preprocessing, Matlab, Neural Network and Machine Learning Term project of EE599 Special Topics: ML in MRI Data class at University of Southern California under supervision of (Raghu) Raghavendra.

Senior Project

Sep 2015 - Jan 2016 (4 months)

Key Skills: Image Processing, Signal SNR Enhancement, Matlab, Academic Research Implementation of Algorithm for ’High-resolution Restoration of 3D Structures from Widefield Images with Extreme Low Signal-to-noise-ratio’ Thesis by Arigovindan et. al.

ROIC Image Processing Project

Jul 2015 - Aug 2015 (1 month)

Key Skills: Raw Image Processing, Matlab, C# Integration of ROIC Camera Circuits with PCB and Image Processing of ROIC Camera • Programmed a hardware interface in Visual Studio by C# coding. • Performed a comprehiensive market research for suitable ADCs and FPGAs for specific ROIC camera circuits

Summer Internship

Jun 2015 - Jul 2015 (1 month)

RF Hardware Design • Designed and implemented Butterworth, Chebyshev and elliptic RF filters • Analyzed capacitors and inductors for RF circuits in real-time applications

Sampling Algorithms for Compressed Sensing in Biomedical Image Signals

Jun 2014 - Aug 2014 (2 months)

Key Skills: Matlab, Image Processing, MRI Signal Processing, Compressed Sensing, Signal Processing Reviewed signal processing literature by experimenting with biomedical images in Matlab • Designed sampling masks according to desired probability density functions in Matlab • Collected, processed and examined data using structure arrays in Matlab • Adapted compressed sensing algorithms for biomedical images to decrease the computation time in reconstruction of magnetic resonance images.


B.Sc. in Electrical And Electronics Engineering

2012 - 2016 (4 years)


Python 3 Tutorial Course (2017)

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