Luca Giacomel
Co-Founder at inference.sh
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolLuca Giacomel is a results-driven software founder and data scientist with a decade of experience building data-driven products and startups in Europe. He co-founded Clay and Plexagon and previously contributed as a Data Scientist at Bending Spoons, applying statistics, Bayesian methods, and deep learning to user data and App Store insights. As a full-stack contributor to the open-source Redash project, he improved security checks, removed unused logging in the front-end’s Plotly chart visualizations, added a Python-based query runner, and enhanced dashboard auto-refresh. Based in Milan, Italy, he earned a BSc in International Management, Economics and Finance from Bocconi University, blending business insight with technical depth. He combines entrepreneurial drive with hands-on engineering across mobile, ASO, and user acquisition to translate complex requirements into practical, scalable solutions.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), International Management,Economics and Finance (major in economics), Bachelor of Science (B.Sc.), International Management,Economics and Finance (major in economics) at Università Commerciale 'Luigi Bocconi'
Italian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
data-visualizations10
javascript10
visualization10
dashboard10
data-visualisation10
javascripts10
front-end-development10
data-visualization10
visualizations10
frontend-development10
back-end-development9
plotly-js9
analytics9
python9
backend9
Programming languages (8)
Github contributions (5)
getredash/redash
Nov 2016 - Dec 2016
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:27 commits, 16 PRs, 36 comments in 18 days
Contributions summary:Luca contributed to both the front-end and back-end aspects of the Redash project. They improved security checks and removed unused logging in the front-end code, specifically within the Plotly chart visualizations. They also added a query runner for generic script execution using Python and made code changes to the dashboard list page. Additionally, they enhanced the auto-refresh capabilities of the dashboard.
pythondatacompany-datavisualizebusiness-intelligence
BendingSpoons/searchads-api
Jun 2017 - Mar 2019
Contributions:21 PRs, 21 pushes, 7 branches in 1 year 9 months
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