I'm a junior majoring in electrical engineering and computer science student at UC Berkeley, designing and coding to enrich individuals and empower communities.

This past summer, I was an Explore intern at Microsoft working on a new business feature on the Azure Information Protection team. Below is a deeper look at my passions, experiences and projects, but feel free to reach out at sophia.qin@berkeley.edu if you would like to learn more - I would love to connect!

• Experience
• Projects
• Resume

Education

Experience

● Designed and implemented a new LOB application for the Azure Information Protection platform using Python, PowerApps, HTML, and JavaScript
● Drove feature prioritization, development, and strategy through close collaboration with engineering and product teams and conducted a competitive analysis for a potential new business feature

● Lead weekly lab and discussion section for 35 students, designing curriculum for new Data Science Major
● Taught higher-order functions, recursion and data structures, object-oriented programming in Python

● Organize world’s largest student-run 36-hour hackathon for 2200+ attendees at UC Berkeley, through industrial relations, marketing and outreach initiatives
● Planned Inclusivity in Tech diversity workshop in Spring 2018, learning how to create technology for people with disabilities and develop a physical programming language for people who are visually impaired

● Taught and developed CS curriculum to a class of 60 students with lectures and projects on Scratch, CAD, and robot programming; sponsored by the National Center of Women & IT (NCWIT) and 25 tech companies

Projects

● Collaborated with a team of peers to design and implement a web application using Java, JavaScript, HTML and CSS over the course of 10 weeks, leveraging various Google Cloud Platform APIs, including App Engine and Datastore.
● Practiced industry best practices such as: contributing to open source software using Git and GitHub, conducting code reviews with/for teammates, extending an existing codebase, participating in distributed development, designing new components and interfaces and leading them to completion.

● Programmed the back-end of a web mapping application of Berkeley, CA that supported features such as image rastering at different zoom levels, autocomplete location search, and route mapping

● Built an algorithmic trading bot in Python that makes use of ETF and ADR arbitrage, scalping, and bonds to trade financial assets on Jane Street's 2019 Electronic Trading Challenge

● Designed and implemented a tile-based game with keyboard controls for navigating levels using Java

● Created a visualization of restaurant ratings using machine learning (supervised and unsupervised learning), K-means and the Yelp academic dataset with Python.