sofiaperezm,Sofía Pérez Mantilla,github

👋🏼 Hi there, my name is Sofía Pérez

👩🏻‍💻 I am a team-oriented front-end developer with almost 2 years of experience creating web applications applying MACH architectures (Microservices, API-first, Cloud native, and Headless) built with Next JS, React JS, and TypeScript; styling with Vanilla CSS, Styled Components, SASS, and Tailwind. Also, integrating services such as Contentful and Algolia.
🚀 I am looking for challenging opportunities to contribute to user-centered and well-tested UIs that provide real value to the clients/users.
💟 In my free time, I enjoy learning new things, reading novels, and spending quality time with my beloved ones.
📨 How to reach me: [email protected]
✨ Pronouns: she/her.

Sofía Pérez Mantilla's Projects

analyze-a-b-test-results

Data Analysis Project with the results of an A/B test run by an e-commerce website. It includes probability calculations, hypothesis testing and regression models (multiple linear and logistic regression). I used Pandas, NumPy, and Matplotlib libraries and the Random and StatsModels module.

bootcamp-udemy-python

Practice exercises, Homework assignments, and Milestone Projects from the Complete Python Bootcamp: Go from zero to hero in Python 3 course in Udemy.

challenge-html-css

HTML and CSS challenge in FooCamp Beginners from Huge Inc.

european-soccer-data-analysis

Data Analysis Project with the European Soccer Database, it includes univariate and bivariate analysis. I used the NumPy, Pandas, and SQLAlquemy to wrangling the data, also Matplotlib and Seaborn were used to data visualization. Finally, the SciPy library was used to statistic analysis.

fem-layout

Frontend Masters: CSS Grids and Flexbox in Responsive Web Design workshop files

frontend_masters

A repo to track all the exercises and projects from the Front End Masters website

job-listings-challenge

Job listings with filtering challenge from Frontend Mentor

sofiaperezm

My personal website

wrangle-and-analyze-data

Data Wrangling Project about WeRateDogs Twitter data, it includes gathering, assessing, and cleaning the data from different formats and sources. Also, includes storing, analyzing, and visualizing the wrangled data. I am using the NumPy, Pandas, Request, Tweepy and JSON Python's libraries.

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