Alessio Cecconi
Process Engineer At DOS Mind, Part Of DOS DESIGN at DOS Design
Rome, Lazio, Italy
Summary
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Senior🎓
Top SchoolAlessio Cecconi is a process engineer and data scientist with over a decade of experience and a PhD in process and data mining, currently building AI-driven process automation at DOS Mind (DOS Design) from Rome. He has a strong academic track record from WU Vienna and Sapienza, combining novel algorithm development and published research with hands-on deployment of ML solutions for industrial and safety-critical domains such as nuclear safeguards. Alessio excels at turning noisy, high-dimensional data into actionable insights—optimizing tomography analysis, reducing false positives in instrument testing, and creating scalable dashboards for non-technical stakeholders. Comfortable in international, multidisciplinary teams, he blends teaching and research experience with product-focused engineering to bridge theory and production. A detail that often goes unnoticed: he pairs rigorous statistical methods with process mining to improve decision-making in multi-stakeholder environments.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Economic and Social Sciences, 1 - Excellent, Doctor of Philosophy - PhD, Economic and Social Sciences, 1 - Excellent at WU (Wirtschaftsuniversität Wien)Laurea Magistrale LM, Computer Engineering, 110 cum Laude, Laurea Magistrale LM, Computer Engineering, 110 cum Laude at Sapienza Università di Roma
English, German, Italian
Github Skills (8)
automata10
dfa10
process-mining9
nfa9
python7
discovery7
business-process6
declarative4
Programming languages (2)
Github contributions (5)
Oneiroe/SmartSlam
Mar 2017 - Jun 2017
Contributions:44 commits, 48 pushes, 1 branch in 2 months
Oneiroe/Janus
Feb 2018 - Dec 2021
Algorithm for the automated discovery of declarative business process constraints
Contributions:210 commits, 2 PRs, 146 pushes in 3 years 10 months
business-processdeclarativediscovery
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