François Aubry

Taiwan

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Summary

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Rockstar

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Top School

François Aubry is a computer scientist and mathematician with six years of industry experience and a strong academic foundation—currently based in Taiwan and holding advanced degrees from Université catholique de Louvain and the University of Lisbon. He combines research-informed expertise in algorithms, constraint programming, and mixed-integer programming with hands-on engineering as a former Senior Full Stack Engineer and Data Scientist at Dataquest.io. As a longtime teaching assistant and ICPC coach/judge, he excels at translating complex algorithmic concepts into practical learning experiences and even created an online competitive programming course. His open-source work includes designing a PostgreSQL-backed crime reports database and analytical tooling, demonstrating a blend of data modeling and production-ready data science. Colleagues know him for thoughtful mentoring, rigorous problem-solving, and a penchant for turning theoretical ideas into usable software.

6 years of coding experience

5 years of employment as a software developer

Bachelor's degree, Pure Mathematics, 17/20, Bachelor's degree, Pure Mathematics, 17/20 at University of Lisbon

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université catholique de Louvain

Bachelor's degree, Computer Engineering, 16/20, Bachelor's degree, Computer Engineering, 16/20 at Universidade de Lisboa

English, French, Portuguese, Chinese

Github Skills (7)

csv10

postgresql10

database-design10

data-analysis10

python9

data-modeling9

jupyter-notebook8

Programming languages (2)

Jupyter NotebookPython

Github contributions (4)

dataquestio/solutions

Sep 2019 - Dec 2020

Solutions for projects.

Role in this project:

Data Scientist

Contributions:20 commits, 16 pushes, 9 comments in 1 year 3 months

Contributions summary:François's primary contribution involves creating a database for storing crime reports and implementing analytical functions. The user designed the database schema using PostgreSQL and analyzed column values from a CSV file to optimize data types. The commits showcase the user's ability to load data, analyze it, and build the necessary infrastructure for a data science project. The notebook demonstrates the user's understanding of data modeling and database interactions within a data analysis workflow.

yunoac/Answer-Checking

Jul 2019 - Aug 2019

Contributions:6 pushes, 1 branch in 20 days

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