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💫 About Me:

I am a senior full-stack developer with over 3+ years of experience. I am a dedicated, hard-working, and talented individual with broad programming and collaboration skills. I'm always following the best practices and the highest standards to produce readable and well-structured code for a product.


My Skill Set

Frontend

React CSS3 HTML5 JavaScript Bootstrap Redux Dart Figma Flutter

Backend

MongoDB Node.js Python Express.js Firebase Flask GCP

Connect with me


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yonycherkos's Projects

addisshop icon addisshop

AddisShop is a MERN stack ecommerce web app.

amplify-flutter icon amplify-flutter

A declarative library with an easy-to-use interface for building Flutter applications on AWS.

applied-data-science-with-python-specialization icon applied-data-science-with-python-specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

automatic-classroom-attendance-system icon automatic-classroom-attendance-system

An automatic classroom attendance system is a system that is used to automate the manual attendance marking method. The manual attendance marking method is a repetitive, time-consuming, tedious task in many schools and colleges. So by automating this traditional method, we can save more time for the actu al lecture, increase the productivity of teachers, increase students punctuality, and also generate attendance reports and its analysis result easily. An automated attendance system can be implemented using various techniques of biometrics. Face recognition is one of them which does not involve human intervention and it has been widely used in many other applications. Face recognition is a method of identifying or verifying the identity of an individual using their face. The system or desktop appI built performs nearly 100 at recognizing faces. It can successfully recognize faces at different face orientation, distance and light conditions. but It sometimes fails to recognize faces in low light conditions. in spite of that the app can work great in classrooms which have sufficient lighting conditions or day-time.

boobook icon boobook

Your library management assistant at school!

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

design_patterns icon design_patterns

This is my solution to the excercise on coursera design patterns course.

dl4cv_exercise icon dl4cv_exercise

This is an exercises for the book deep learning for computer vision by Dr. Adrian Rosebrock

lung-disease-detection-from-chest-xray icon lung-disease-detection-from-chest-xray

The goal of this project to build a web and mobile app which will diagnose lung diseases from chest x-ray image using deep learning. It will also guide radiologists to make fast and accurate diagnose by segmented and showing heat-map of the chest X-Ray images prior to classifying them.

minidatabase icon minidatabase

This is a simple database implemented using c++ based on set theories.

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