Michael Perkins

Professional Experience

• Data Engineer

  Nomi Health, 2022 - 2023

  • Developed scalable data pipelines, reducing processing time by 40%
  • Improved data accuracy by 25% through modern ETL practices
  • Collaborated on data-driven solutions, enhancing decision-making

• Data Analyst

  LinkIt, 2018 - 2020

  • Maintained CRM-integrated marketing database, increasing lead conversion by 30%
  • Conducted competitor analysis, providing actionable insights
  • Implemented A/B testing, improving client outreach effectiveness by 20%

Education

• Master of Engineering in Computer Science

  Southern Methodist University, 2024 - Present

• Bachelor of Science in Quantitative Social Science

  Dartmouth College, 2014 - 2018

Summary

Data engineer and CS grad student with expertise in quantitative analysis, data pipelines, and modern tech. Seeking to innovate in data engineering and software development.

Technical Skills

Languages: Python, JavaScript, TypeScript, SQL, HTML, CSS

Frameworks: React, Next.js, Node.js, Express, Pandas, NumPy

Tools: Git, Docker, AWS, Azure, PostgreSQL, MongoDB

Methodologies: Agile/Scrum, CI/CD, TDD, Data Modeling, ETL