Adrian Turcato
Forward Deployed Engineer at Palantir Technologies
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAdrian Turcato is a Forward Deployed Engineer with 10 years of experience blending software engineering, data science, and building systems for real-world impact. With a background spanning Art History, Engineering Physics, an MASc focused on building sciences, and an MBA from Cornell Tech, he connects technical rigor to product and client-facing work. He has built ETL pipelines, automated analytics workflows, and crafted interactive D3.js visualizations and a bespoke 3D web engine for thermal simulation, translating complex engineering models into intuitive dashboards. At Palantir he applies this mix of data, visualization, and systems thinking to deliver operational solutions, drawing on prior work that included a COVID-19 dashboard leveraging Pandas and D3 for interactive time-series insights. Colleagues describe him as a data nerd who pairs analytical depth with design-minded clarity and an unusual ability to port legacy scientific code into modern web tools.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (BA), Major Art History, Minor Mathematics, 3.7, Bachelor of Arts (BA), Major Art History, Minor Mathematics, 3.7 at McGill UniversityToronto Metropolitan UniversityBachelor of Applied Science (BASc), Engineering Physics, ~3.8, Bachelor of Applied Science (BASc), Engineering Physics, ~3.8 at The University of British ColumbiaExchange Student, Physics, Exchange Student, Physics at The Julius Maximilians University of WürzburgMaster's degree, Business Administration and Management, General, Master's degree, Business Administration and Management, General at Cornell Tech
English, French
Github Skills (13)
data-manipulation10
data-visualizations10
vi10
pandas10
data-visualization10
data-visualisation10
d3js10
python10
jupyter10
data-science10
co10
covid-testing10
analytics9
Programming languages (4)
Github contributions (5)
github/covid19-dashboard
Mar 2020 - May 2020
A site that displays up to date COVID-19 stats, powered by fastpages.
Role in this project:
Data Scientist
Data ScientistContributions:15 commits, 5 PRs, 3 comments in 1 month
Contributions summary:Adrian primarily contributed to a Jupyter Notebook focused on visualizing COVID-19 data. Their work involved importing and manipulating time-series data from a public repository using Pandas. They implemented functions to extract, combine, and prepare the data, including calculations for case fatality rates and identifying outstanding cases. The user also integrated the D3.js library to create interactive visualizations, including streamgraphs, with dynamic scaling and tooltips.
nteractanalyticspythonreactdata-science
Arbol-Project/arbol-meteor
Aug 2018 - Mar 2019
A Meteor project for the Arbol Ethereum application.
Contributions:2 releases, 4 PRs, 96 pushes in 6 months
ethereummeteor
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