Brandon Shin

Software Engineer

Role
Senior Qa Lead at QA Wolf
Location
Los Angeles, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Brandon Shin

I graduated from the University of California, Santa Barbara with a Bachelor of Science in Statistics & Data Science. During my time at UCSB, I was introduced to all of the possibilities in programming. It was then at my first post-collegiate job where I was able to utilize some of these skills I picked up to improve my team\'s function and efficiency. After seeing myself applying what I already knew to make these changes for the better, I decided to further my education and pursue this passion I had discovered.I have previous professional experience in data analytics and am comfortable operating within the fields web development and data analytics. Some of my key skills include pair programming, test-driven development, object-oriented programming, data mining, machine learning, and proficiency in coding languages such as Python, R, JavaScript, HTML, and SQL. I am also familiar with various frameworks such as React, Redux, Express, Flask, Sequelize, SQLAlchemy, PostgreSQL, AWS, and Spark.I am a hard worker who goes the extra mile and I enjoy both the journey and result of figuring out the different challenges that creating models and web applications present.Outside of programming, I enjoy playing sports like golf and basketball, trying out new restaurants, and collecting sneakers. Please feel free to check out any of my projects and reach out if there are any questions or opportunities. Thanks for stopping by!| JavaScript | Python | SQL | Sequelize | React | Redux | Express | Flask | SQLAlchemy | PostgreSQL | AWS | Spark | Streak CRM | R | Confluence | Athena | Asana | Tableau | Slack | Microsoft Suite | Google Suite | Greenhouse ATS | TalentWall |

Experience

  1. Senior Qa Lead

    QA Wolf

    Apr 2025 — Present

Education

  • Van Nuys High School

    High School

    2014 — 2016

  • UC Santa Barbara

    Statistics and Data Sciences, Applied Probability

    2016 — 2020

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