Will Ayd
Owner Data Consultant Solutions Architect
Lewes, Delaware, United States
Summary
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Rockstar🎓
Top SchoolWill Ayd is a data consultant and solutions architect with 15 years of experience helping enterprises turn fragmented ERP, PDM, CRM and other systems into actionable reporting platforms. As owner of innobi he guides leadership on composable, open-source strategies while training teams—often emphasizing Python—to modernize analytics stacks, primarily for Apparel and Footwear clients but also across consumer goods, pharma discovery and B2B marketing. His hands-on background includes managing BI migrations at scale and leading teams to align technical solutions with business processes. An active contributor to major open-source projects like pandas, Apache Arrow and TabPy, he has improved core I/O, compute kernels and server code quality—work that reflects a blend of practical production engineering and data-science sensibility.
15 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Logistics, Materials, and Supply Chain Management, Bachelor's degree, Logistics, Materials, and Supply Chain Management at Penn State University
Stackoverflow
6,943reputation
944kreached
91answers
25questions
authentication
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dataframe
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ruby-on-rails
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package
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excel
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python
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Github Skills (33)
debug10
c-language10
back-end-development10
python10
pandas10
data-structure10
apache-arrow10
data-structures10
cprogramming-language10
data-analysis10
authentication9
algorithms9
dataframe9
numpy9
apidoc9
Programming languages (20)
Github contributions (5)
pandas-dev/pandas
Sep 2016 - Dec 2022
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 & Data Scientist
Back-end Developer & Data ScientistContributions:2 releases, 1851 reviews, 270 commits in 6 years 4 months
Contributions summary:Will contributed to the pandas library by implementing features for improved data analysis and manipulation, with a focus on enhancing the Excel input/output functionality. Their work included adding new options like `true_values` and `false_values`, enabling the use of callables in `usecols`, and addressing issues with MultiIndex handling during parsing. Additionally, they addressed memory leaks and improved the handling of null values, demonstrating proficiency in core library functionalities for data handling and optimization.
pythondatalabeled-datamanipulationdataframes
tableau/TabPy
Jun 2018 - Dec 2019
Execute Python code on the fly and display results in Tableau visualizations:
Role in this project:Backend Developer
Backend DeveloperContributions:47 commits, 17 PRs, 192 comments in 1 year 6 months
Contributions summary:Will's commits focused on linting and refactoring the TabPy server codebase, primarily within the `tabpy_server` directory. This included modifications to the `tabpy.py`, `psws/python_service.py`, and `psws/callbacks.py` files. The changes indicate efforts to improve code quality and address potential issues in the server's functionality.
python-codepythonanalytical-modelson-the-flyvisualizations
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