Skip to content
View Deborah-code's full-sized avatar

Block or report Deborah-code

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
Deborah-code/README.md

Hi there πŸ‘‹

afrolady

I'm a London-based Software Engineer with a passion for engineering and making a difference through technology. With experience working with cross-functional product teams and a background in non-coding STEM, I'm always looking for ways to leverage software engineering to solve complex problems and support vibrant tech communities.

About Me

  • πŸ”­ I'm currently leading the tech team at Young People in Tech (YPIT), where we're building the website with modern web technologies like Next.js, React, and Tailwind CSS.
  • 🌱 I'm passionate about open source and have spearheaded the creation of an open-source React/Next.js project library, aiming to foster an active community through meetups, documentation, and support.
  • πŸ‘― I've volunteered my tech skills at Code Your Future, AnitaBorg and Women Who Code London, focusing on teaching best practices and reviewing talk proposals to ensure high-quality, engaging technical content.
  • πŸ“š When I'm not coding, you can find me lost in the world of John Grisham's legal thrillers or exploring historical fiction.

Skills

  • Languages & Frameworks: React, Next.js, Gatsby.js, Vite, Node.js, JavaScript, TypeScript, Python, Flask, CSS
  • Tools & Platforms: AWS, Serverless, Cypress, Jest, Vitest, GraphQL, Figma, Jira
  • Community Management & Leadership: Experienced in leading tech teams, managing open-source projects, and building technical communities.

Pinned Loading

  1. Stroke_prediction Stroke_prediction Public

    This contains a stroke dataset from kaggle which was used for predicting the possibility of a stroke, using Linear regression, SVM, and KNN

    Jupyter Notebook

  2. Working_with_folium Working_with_folium Public

    This is a python exercise that maps out my favorite restaurants in Lagos Nigeria using folium

    Python