Gasana Parfait
AQS at Africa Quantitative Sciences
Kigali City, Rwanda
Summary
🤩
RockstarGasana Parfait is a data-focused software engineer with 10 years of experience, currently driving analytics and engineering work at Africa Quantitative Sciences in Kigali. He blends general-purpose programming in Python and R with domain-specific skills in XSLT, SQL, SAS, and Stata to build robust data pipelines and statistical solutions. An active open-source contributor, he has improved pandas documentation and helped implement XML I/O support, showing attention to developer experience and data interoperability in a widely used library. Gasana’s background spans relational databases and statistical packages, enabling him to translate complex quantitative requirements into maintainable code. He brings a pragmatic mix of research-minded rigor and hands-on implementation, often surfacing documentation and I/O edge cases that others overlook.
10 years of coding experience
Stackoverflow
105,785reputation
8.6mreached
5,191answers
13questions
boxplot
top-5%
pandas
top-1%
vba
top-1%
postgresql
top-5%
if-statement
top-5%
dataframe
top-1%
Github Skills (62)
sqlite10
python10
mysql10
pyodbc10
r10
pandas10
forloop10
vba10
loops10
boolean10
dataframe10
sql-server10
ms-access10
sql10
excel10
Programming languages (7)
Github contributions (5)
pandas-dev/pandas
Dec 2018 - Jan 2023
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:
Back-end Developer
Back-end DeveloperContributions:99 reviews, 14 commits, 27 PRs in 4 years 2 months
Contributions summary:Gasana primarily focused on improving documentation related to operators within the pandas library. Their work involved updating docstrings and examples to accurately reflect the functionality of various operators. The user also contributed to the implementation of XML I/O support, including functions for reading and writing XML data, enhancing the library's data handling capabilities. These changes focused on improving code documentation and expanding the library's features.
pythondatalabeled-datamanipulationdataframes
ParfaitG/pandas
Mar 2018 - Mar 2025
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:158 pushes, 57 branches in 7 years 1 month
polarspythondatalabeled-datamanipulation
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