Ana Loureiro

Postdoctoral Researcher at Faculdade de Engenharia da Universidade do Porto

Porto, Porto, Portugal
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Summary

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Senior
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Top School
Ana Loureiro is a transport systems researcher and educator with a PhD and MSc from the University of Porto, combining eight years of experience in data-driven urban mobility, sustainability, and mechanical engineering. As a postdoctoral researcher and invited assistant professor at FEUP, she develops machine-learning and decision-support tools to optimize taxi operations, promote fleet decarbonisation, and assess transport efficiency. Her background in mechanical design and production planning informs pragmatic research on customer retention analytics, sales forecasting, and circularity projects aimed at extending product lifetimes. She publishes regularly and teaches Business Analytics and Statistics at the master’s level, bridging rigorous academic methods with real-world operational problems. An underappreciated strength is her hands-on experience with structural adhesive joints research, which gives her a detailed systems perspective that enriches her work on sustainable mobility solutions.
code8 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Transport Systems, Doctor of Philosophy - PhD, Transport Systems at Faculdade de Engenharia da Universidade do Porto
bookResearch fellow, Structural adhesive joints, Research fellow, Structural adhesive joints at IDMEC/FEUP - Institute of Mechanical Engineering
bookMaster of Science (MSc), Mechanical Engineering, Master of Science (MSc), Mechanical Engineering at Engineering faculty of the University of Porto
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Github Skills (63)

data-analysis10
bigquery10
postgresql10
ai-agent10
data-collection10
python10
mysql10
snowflake10
data-engineering10
databases10
java10
etl10
ai10
mssql10
elt10

Programming languages (7)

TypeScriptJavaScalaJavaScriptDartPythonKotlin

Github contributions (5)

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anamargaridarl/airbyte

Nov 2022 - Feb 2023

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.
Contributions:26 pushes, 2 branches in 3 months
data-warehousedata-collectiondata-sciencedata-ingestionbig-data
anamargaridarl/CGRA

Feb 2019 - Sep 2019

Contributions:22 pushes, 1 branch in 6 months
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