Onur Copur

Onur Copur

MSc Data Science

About

Data scientist with research interests in computer vision and NLP. Proficient in Python programming, MLOps and deep learning frameworks.

Download my resumé.

Interests
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
Education

  • M.Sc. in Data Science, 2021

    Sapienza University of Rome

  • B.Eng. in Industrial Engineering, 2019

    Yasar University

Experience

 
 
 
 
 
BARCO
Computer Vision Intern
BARCO
Mar 2021 – Oct 2021 Belgium
Developed an end-to-end deep learning-based system that detects the engagement level of a subject in a given video as part of my master’s thesis.
 
 
 
 
 
Univera Computer Systems
Data Scientist
Univera Computer Systems
May 2018 – Aug 2019 Turkey
Created a time series forecasting tool for retail and tobacco producers with deep learning. Developed a genetic algorithm-based periodic route optimization method to solve the routing problem of FMCG distributors.

Training Camps

Google
Building an image search engine
Google Sep 2020
Developed an attention-based image captioning method that uses InceptionV3.
PosteItaliane
Object Detection on satellite imagery
PosteItaliane Jul 2020
Landmark detection and population estimation with the help of satellite images.

Projects

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All Computer Vision NLP Machine Learning
Emotion Recognition CNN

Emotion Recognition CNN

Training a CNN for emotion recognition and explaining the behaviour of the model.

Code
Engagement Detection with OpenFace & Bi-LSTM

Engagement Detection with OpenFace & Bi-LSTM

An end-to-end deep learning-based system that detects the engagement level of the subject in an e-learning environment.

PDF Code Slides
NBA Statistics

NBA Statistics

3 main goals of this Project; Predicting the result of NBA games.Predicting the outcome of Field goal attempts of Lebron James..

PDF Code Slides
SVM from Scratch

SVM from Scratch

Implementing the Support Vector Machine (SVM) from scratch for binary and multi label classification task.

Code

Blog

Deep Unsupervised Learning
This is a post series about deep unsupervised learning course from Berkley. There are 12 lectures in total and I will share my notes for each lecture in this post series.
Last updated on Jan 30, 2022 4 min read
Deep Unsupervised Learning
Big Data computing
—————— MAP REDUCE —————— Distributed File System (DFS) Modern data-mining applications, often called “big-data” analysis, require us to manage immense amounts of data quickly. The key factor of making fast computation is parallelization and this is done via computer clusters.
Dec 13, 2020 25 min read
Big Data computing
Deep Reinforcement Learning
This is a blog post about the UCL course on Reinforcement Learning by David Silver. The course is divided into 10 Lectures and I will share my notes on every lecture in this post.
Dec 13, 2020 6 min read
Deep Reinforcement Learning

Publications

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Mert Nakip, Onur Copur, Cüneyt Güzeliş (2021). Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey. In ASYU.

PDF Cite Dataset DOI

Onur Copur, Mert Yıldız, Simru Göven, Ali Övünç Güneri, Alper Berke Yavuz, Mahmut Ali Gökçe, Cansu Yurtseven (2019). Periodic Route Optimization for FMCG Distributors. In ISPR.

PDF Cite DOI

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