Milena Araujo

Web Engineer, Data Explorer, and Stationery Lover

Milena Araujo

Exploring New Horizons in Data Analysis and Data Science

Summary

Experienced Frontend Engineer transitioning into a Data Analyst / Data Scientist role, leveraging a strong technical background and a passion for data-driven decision-making. With expertise in JavaScript, React, and web technologies, I excel at optimizing user experiences and driving strategic improvements. I am eager to apply my analytical abilities to uncover insights and support informed decision-making in a data-focused role, utilizing my skills to bridge the gap between technology and data.

Skills

  • React
  • HTML & CSS
  • Git
  • JavaScript
  • Data Visualization
  • Data Analysis
  • Data Cleaning
  • Tableau
  • SQL
  • R

Employement History

Community Engineer @ Raycast

June 2023 - September 2024

  • Reviewed over 200 public pull requests in TypeScript, ensuring high-quality code standards and contributing to data-driven community and extension-building guidelines.
  • Engaged with the community through various platforms, gathering user feedback and insights to inform product development and improve user experience.
  • Developed and enforced guidelines to streamline processes, demonstrating analytical skills and the ability to derive actionable insights from community interactions.

Web Engineer @ Spotify

August 2016 - October 2022

  • Led and executed A/B tests and OKRs, ensuring alignment with stakeholders and utilizing data to drive strategic decisions and product improvements.
  • Enhanced CI/CD pipelines, reducing deployment times significantly, demonstrating strong problem-solving skills and an ability to optimize processes.
  • Conducted user research and data analysis to understand tablet client usage, contributing to data-driven insights and experimentation strategies.

Researcher @ LSD - UFCG

March 2013 - July 2015

  • Conducted extensive research on behavioral differences in Q&A communities using large-scale datasets from StackExchange, employing data analysis to uncover insights into user behavior.
  • Utilized MongoDB and Python’s scientific libraries to manage and analyze big data, showcasing proficiency in data manipulation and statistical analysis.
  • Presented research findings at SACC 2016, demonstrating strong communication skills and the ability to convey complex data insights to diverse audiences.

Education

MS.c. in Computer Science @ UFCG

March 2013 - July 2015

Focused on CSCW. Dissertation theme: behavior differences between men and women in Q&A online communities, focused on StackExchange / StackOverflow.

Bachelor in Computer Science @ UFCG

March 2007 - November 2012

Coursers and Certifications

Google Data Analytics Professional Certificate @ Coursera

January 2025 - March 2025