Skip to content
View yasin-peker's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report yasin-peker

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
yasin-peker/README.md

💫 About Me:

As a highly dedicated, enthusiastic, and motivated senior Electrical and Electronics Engineer graduating from METU in June 2023, I am passionate about creating innovative solutions that push the boundaries of technology. With over two years of experience in designing and implementing computer algorithms and models for creating, displaying, and processing various digital images, I have developed a deep understanding of the technical aspects of image processing, signal analysis, and code development.

In addition to my existing skills, I have expanded my expertise to include Computer Vision, Deep Learning, Machine Learning, and Data Science. I have hands-on experience working with the YOLO algorithm for Computer Vision and the SwinIR algorithm for Image Processing. These new skills have enabled me to develop effective techniques to improve image quality and analyze signals and data to solve complex problems.

My passion for AI, ML, and Computer Vision is rooted in my firm belief that technology can improve the world. I am excited about exploring these fields' frontiers and eager to bring my skills and expertise to a dynamic team that shares my passion for innovation.

With my experience in various industries, including defense, automotive, and energy, I have developed a unique perspective on how technology can be applied in diverse contexts. I possess excellent analytical, communication, problem-solving, and team-working skills, which enable me to collaborate effectively with others and deliver high-quality results.

As I embark on the next phase of my career, I am excited to work with a company that shares my passion for innovation and is committed to using technology to impact the world positively. My skills, expertise, and passion will make me a valuable addition to any team.

🌐 Socials:

LinkedIn Kaggle

💻 Tech Stack:

C C++ Python Anaconda PyCharm Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Dash LINUX Arduino CMake Raspberry Pi

📊 GitHub Stats:



✍️ Random Dev Quote


Pinned

  1. Medical-X-Ray-Imaging Medical-X-Ray-Imaging Public

    In this project, medical X-Ray imaging methods using MATLAB tools are studied. In order to design the model of the X-Ray imaging as software, the X-Ray imaging project is divided into two parts, na…

    MATLAB 1

  2. Object-Detection-Using-YOLOv3 Object-Detection-Using-YOLOv3 Public

    In this project, 4 different YOLOv3 models with different accuracy in different FPS values were created in the image processing area. The YOLOv3 models used are YOLOv3-tiny, YOLOv3-320, YOLOv3-416 …

    Python 1

  3. Verilog-HDL-Based-Car-Parking-System-FPGA Verilog-HDL-Based-Car-Parking-System-FPGA Public

    This repository contains the Verilog HDL implementation of a Car Parking System running on an FPGA. The system is designed to manage car entry and exit through two sensors located at the entrance a…

    Python 1

  4. Training-Artificial-Neural-Network Training-Artificial-Neural-Network Public

    In this project, I performed experiments on artificial neural network (ANN) training and drew conclusions from the experimental results. I implemented and trained multi layer perceptron (MLP) and c…

    Jupyter Notebook 1

  5. Debiasing-Facial-Recognition-Systems-MIT-DL-Lab2.2 Debiasing-Facial-Recognition-Systems-MIT-DL-Lab2.2 Public

    This project is a part of MIT 6.S191 Introduction to Deep Learning course. In this lab, I build a facial detection model that learns the latent variables underlying face image datasets and uses thi…

    Jupyter Notebook 2

  6. Medical-Cost-Analysis-Project Medical-Cost-Analysis-Project Public

    A Machine Learning project trained by "Medical Cost Personal Datasets" from Kaggle and performance of different Regression models are compared.

    Jupyter Notebook 1