demisodaba Goto Github PK

followers: 218.0 following: 446.0 repos: 57.0 gists: 0.0

Name: Demiso Daba

Type: User

Company: Hiring for work!

Bio: Front-end Software Engineer

Location: Nekemt , Ethiopia

Blog: https://demisodaba.github.io/

💫 About Me:

Hi, I'm Demiso Daba

Currently, I'm Applied AI Student at ALX-Africa || Full stack developer
Click here to contact me through Facebook
This is my personal website
You can schedule to chat with me here
Ask me anything you want from here

Contact me here:

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Demiso Daba's Projects

alx-frontend-for-fun

This is just a repository created for the ALX Africa software program, aimed at fostering fun and experimentation in frontend development.

alx-interview

This repository contains materials related to interviews at ALX-Software Engineering program.

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-react

This is a repository dedicated to advancing skills in React development, from ALX Africa to explore and enhance my proficiency in building dynamic web applications

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

AquaTech Nexus | Water Research Code Library, It is the web application serves as a comprehensive platform for water research, offering access to a wide range of resources such as books, codes, notebooks, and tools.

badge42

Ever wanted to show your progress in 42 cursus to the world? Your badge is a beautiful, quick way to show-off what you've built. With the new badge generator, you can easily display your progress and keep up with visitors/friends.

basic-todo-app

binary_trees

c-programming_practice

demisodaba

demisodaba-personal-website

Personal-Website

demisodaba.github.io

My Portfolio - Personal Website : This repository contains a version of SE Foundations portfolio, requested by Alx-Africa School in partial fulfillment for Foundation.

filling_missed-data

This repository is dedicated to handling missing data in rainfall and stream flow datasets, primarily employing Inverse Distance Weighting (IDW), Mean, and Regression techniques. These methods are carefully implemented and documented to ensure effective data imputation for accurate hydrological analysis and modeling.