Ujjaini Mukhopadhyay
Software Engineer at Apple
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolUjjaini Mukhopadhyay is a software engineer based in the San Francisco Bay Area with five years of experience spanning data science, full-stack and web development, and production-grade cloud systems. A UC Berkeley computer science graduate now working at Apple, she has interned across GoDaddy and Berkeley labs where she built scalable data infrastructure, SLA-tracking systems, and communication-avoiding algorithms for sparse matrix multiply. She contributed to the popular Lux open-source project to automate Pandas visualizations, improving data-type handling, chart rendering, and documentation to boost usability. Comfortable owning end-to-end projects, she combines hands-on systems work with UX-minded tooling and a knack for translating research ideas into deployable software. Her background mentoring CS70 students and building analytics tools hints at strong teaching instincts and a bias toward clear, testable design.
5 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, BerkeleyLeland High School
Bengali, English, Spanish, Hindi
Github Skills (8)
data-visualizations10
pandas10
data-visualization10
data-visualisation10
exploratory-data-analysis10
python10
jupyter10
data-science9
Programming languages (3)
Github contributions (5)
lux-org/lux
Oct 2020 - Sep 2021
Automatically visualize your pandas dataframe via a single print! 📊 💡
Role in this project:
Data Scientist
Data ScientistContributions:41 reviews, 46 commits, 25 PRs in 11 months
Contributions summary:Ujjaini primarily contributed to the development and improvement of the Lux library, a tool for automated data visualization in Pandas. Their contributions included modifying and testing code related to data type handling, data model generation, and chart rendering. Furthermore, the user updated documentation and addressed issues, such as those related to mixed data types, to enhance usability and address known bugs. These modifications directly impact the core functionality of the Lux library.
data-analysispythondata-sciencedataframevisualize
jinimukh/lux
Oct 2020 - Sep 2021
Python API for Intelligent Visual Data Discovery
Contributions:110 pushes, 19 branches in 11 months
apipythondata-discoverydiscoveryvisual-data
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