Prakhar Pandey
Software Engineer at Coinbase
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolPrakhar Pandey is a software engineer with 10 years of experience building reliable systems across fintech, cloud, and consumer products, currently contributing to Coinbase’s Consumer team from Bengaluru. He has held engineering roles at Google Cloud and Goldman Sachs and built a Python-based strategy backtesting platform as a quantitative developer, demonstrating strong backend and data-focused skills. Prakhar contributes to the pandas open-source project as a QA/test automation engineer, improving data correctness and edge-case handling in one of Python’s most widely used data libraries. Comfortable in high-compliance financial environments and fast-moving cloud/consumer teams, he blends rigorous testing discipline with practical product delivery.
10 years of coding experience
4 years of employment as a software developer
BTech (Hons) and MS Computer Science, BTech (Hons) and MS Computer Science at International Institute of Information Technology Hyderabad (IIIT Hyderabad)St Josephs Inter College
Github Skills (7)
pandas10
python10
testing10
pytest9
data-analysis9
numpy6
data-science6
Programming languages (5)
Github contributions (5)
pandas-dev/pandas
Nov 2019 - Jun 2020
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 5 PRs, 30 comments in 7 months
Contributions summary:Prakhar primarily contributed to testing efforts within the pandas library. Their commits focused on adding and modifying test cases for various functionalities, including DataFrame indexing, groupby aggregations, string methods, and constructor behavior. The work involved validating the correctness of the library's features and ensuring that edge cases, such as those involving NA values, are handled correctly. These contributions contribute to the overall quality and reliability of the pandas library.
pythondatalabeled-datamanipulationdataframes
prakhar987/analysis-of-protein-structure
Apr 2016 - Dec 2017
Contributions:8 pushes, 1 branch in 1 year 8 months
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