Zoe Mwangi

I am a Web Developer

TECH STACK

Languages

  • HTML
  • CSS
  • JavaScript
  • Python
  • PHP

Frameworks

  • React
  • jQuery
  • Bootstrap

Databases

  • MySQL
  • PostgreSQL
  • Pandas

Cloud/Hosting

  • AWS
  • Git
  • Vercel

CURRICULUM VITAE

PROFILE

ZOE MWANGI

Spirited web developer, skilled in front and back-end programming with a strong interest in developing user-centered websites. Further skilled in data analytical technologies.

EDUCATION

Bachelor, Biomedical Sciences

2017 - 2020

Maastricht University, The Netherlands

This program explores the mechanisms behind human health and disease, combining biology and medicine with a research-driven approach.

DIPLOMA, CANCER IMMUNE PERSONALIZED THERAPIES
2019 - 2020

Vrije University, The Netherlands

A specialized program at the intersection of immunology, oncology, and personalized medicine. This minor emphasizes understanding immune system processes crucial for disease outcomes

CERTIFICATION, AI CORE
2023

AI Core, United Kingdom

Immersive program focused on artificial intelligence and data science. Includes end-to-end project development under the mentorship of industry professionals. Embraces practical applications of deep learning, data engineering, and DevOps tools

PROFESSIONAL EXPERIENCE

Intern, Full Stack Programmer

2023 - Present

London, United Kingdom

  • Designed and programmed a dynamic map website with extensive API integration and various user-oriented features.
  • Created a CRUD application to operate a company directory, using HTMl, CSS, Javascript and jQuery languages as well as managed its data using PHP, MySQL and AWS relational database.
  • Created an updated version of the CRUD company directory application using jQuery and React state management.

INTERN, DATA ANALYST

2023

AI Core, United Kingdom<

  • Trained a computer vision model that detected gestures in real-time. Created a Python script to apply the programming logic using the Tensorflow API and OpenCV
  • Performed data cleaning on an Airbnb dataset (using Pandas) Trained, compared & evaluated classification (category classification) and regression (tariff/nightly price prediction) machine learning models.
  • Created a system that extracts and cleans retail data from a multitude of data sources and loads the data into a Postgres database. Developed a star based database schema to make the data easy to analyse and performed some analysis of the data using SQL.

PROJECTS

INTERACTIVE MAP

COMPANY DIRECTORY

ROCK, PAPER, SCISSORS

Contact

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