Resume

1. Koray Beyaz
Freelance Machine Learning Engineer
Education
Middle East Technical University, B.S. in Mechanical Engineering – 2017, Ankara, Turkey
Hacettepe University, M.S. in Mechanical Engineering – 2017- Present, Ankara, Turkey
Important courses: Advanced Robust Control, Artificial Neural Networks, Vehicle Control.
Completed a financial time series forecasting project with Neural Network Ensembles using Keras/Tensorflow (Artifical Neural Networks
graduate course).
Open Source Contribution
Contributed to the documentation and unit tests of fastai deep learning library.
Work Experience
Long Term Software Development Intern - 2017-2018, Versus Engineering, Ankara, Turkey
Implemented sensor fusion algorithms for vehicle driver evaluation and crash detection using driving data. Developed a standalone
Matlab GUI for the same project. Developed a simple Android app that collects and mails sensor data.
Freelance Machine Learning Engineer/Mechanical Engineer 2017-Present, Freelancer.com
Completed several small sized projects on freelance platforms related to machine learning, data analysis and statistics.
 Implemented machine learning algorithms for botnet detection. Utilized Keras, Bash, WireShark, netmate and scikit-learn.
 Developed a product based sales forecasting model and implemented product pricing strategy for a fast food chain in Australia.
Utilized ARIMA, Prophet.
 Developed a software with OpenCV/Python that combines Haar Cascade face detection with Grabcut algorithm for face extraction.
 Converted R scripts to Python that use Random Forest and the Hidden Markov Model to implement a trading strategy.
 Implemented K-means clustering, PCA and LDA algorithms on Matlab.
 Built a classifier that classifies welding operators as experienced or inexperienced using position, velocity and angular velocity data
of welding operations.
Mechanical Engineer/ Software Developer 2018-2019, CernTech Engineering, Ankara, Turkey.
Developed a vehicle power/torque test software with wxPython/Arduino.
Internship, Arçelik Dishwasher Plant Factory, 2016, Ankara, Turkey
Internship, Bamel Machinery, 2017, Adana, Turkey
Side Projects/Self Study
 Built a ResNet based classifier for Google’s Quick Draw dataset (340 classes). Utilized fast.ai and SageMaker.
 Built a simple image classifier that classifies vehicle types. The model is available on: https://deeplearningmodels.onrender.com/
 Developed a news scraping web application with Python/Django with REST API.
 Developed web scrapers that collect the product information on Trendyol.com with Python/Scrapy and Selenium headless browser.
Working on a Chrome extension that displays the price history graphs on Trendyol.com using Javascript/CSS. Utilized AWS DynamoDB.
 Completed courses on Coursera and edX: Machine Learning (Stanford University), SQL for Data Science (University of California) and
Amazon SageMaker: Simplifying Machine Learning Application Development.
Publications
A black-box device for driver performance monitoring and vehicle crash analysis, 9th International Automotive Technologies Congress
(OTEKON 2018), BURSA.
Contact Information
koraybeyaz73@gmail.com
+905533319305
https://github.com/kori73
freelancer.com/u/koraybeyaz
linkedin.com/in/koray-beyaz-773936ba/