of Alessandro Berti, born in Soave (VR), Italy, on 20/02/1989

Living in Aachen, Alt-Haarener Straße 21 (52080)

Phone: +49 160 92437294

Job experiences:

Software Engineer @ Center of Process Intelligence, Fraunhofer FIT - Lead developer of the open-source process mining library PM4Py (with more than 700.000 downloads) and the process mining tool PMTk (based on PM4Py, web services in Flask, and a front-end in Angular; available on-premise and as a standalone tool). - Involvement as a software expert in data analysis projects on SAP ERP.	Sep 2019 – now
Software Engineer @ Process and Data Science group, RWTH Aachen - Organization of practical courses in the field of conformance checking. In particular, holder of the “Process conformance checking in Python” practical course for the past seven semesters. - Supervision of BSc and MSc theses on process mining and big data analysis topics. - Development of prototypal process mining software: - Extraction of event data from SAP: O2C, P2P, AP, AR - PM4Py-GPU: a high-performance process mining library running on the NVIDIA RAPIDS framework. - PM4JS: a general-purpose process mining library in Javascript. - Research: - Object-centric process mining: development of the OCEL standard for storing object-centric event logs; process discovery on OCEL(s) using object-centric directly-follows graphs and Petri nets.	May 2018 - now
Research Engineer @ SIAV S.p.A. (Italy) - Application of process mining to processes implemented using document flows in the Archiflow document management application. - Automation of an invoice processing system. Issuing of electronic invoices. - Development of some modules in document management software (Archiflow, Silloge): full-text search, text classification, and process mining.	March 2015 – April 2018
Research Assistant @ University of Padova (Italy) - Development of social network analysis and resource profiling techniques. - Integration of social network analysis in the SIAV’s document management application.	March 2014 – March 2015

Main skills:

Programming: Python (lead developer of PM4Py and PM4Py-GPU; text classification) along with its ecosystem (Pandas, Scikit-Learn, Numpy); Javascript (lead developer of the process mining toolkit PMTk, and of the open-source library PM4JS) along with Node.JS and Angular.

Consultancy: involvement in process mining projects @ Fraunhofer FIT.

Data analysis: deep knowledge of process mining in different areas (process discovery, conformance checking, simulation). Usage of dataframe technologies (Pandas, Polars, NVIDIA RAPIDS, Apache Spark), SQL (Oracle, DuckDB, SQLite), and non-SQL (MongoDB, Redis) to extract and pre-process event data. Data extraction and processing from popular information systems (SAP ERP, Dynamics CRM, Camunda). Data visualization: Graphviz (PM4Py, PM4JS), Matplotlib (PM4Py), Plotly (PMTk, PM4JS).

Operational: deployment of applications as Docker containers (both in the context of SIAV Silloge and PMTk), and in enterprise web/application servers (Apache, IIS, NGINX / UWSGI). Basic knowledge of CI/CD pipelines (for the PM4Py and PMTK projects). Base knowledge of the Nameko framework.

Main publications:

Berti, Alessandro, van Zelst, S.J., van der Aalst, W.M.P. (2019): Process Mining for Python (PM4Py): Bridging the Gap Between Process-and Data Science. In: Proceedings of the ICPM Demo Track 2019, co-located with 1st International Conference on Process Mining (ICPM 2019), Aachen, Germany, June 24-26, 2019. pp. 13-16 (2019).
Berti, Alessandro, and Wil van der Aalst. Extracting multiple viewpoint models from relational databases. Data-Driven Process Discovery and Analysis. Springer, Cham, 2018. 24-51.
Berti, Alessandro, and Wil MP van der Aalst. Reviving Token-based Replay: Increasing Speed While Improving Diagnostics. ATAED@ Petri Nets/ACSD. 2019.
Berti, Alessandro, Sebastiaan J. van Zelst, and Wil MP van der Aalst. PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack. BPM (PhD/Demos). 2019.
Berti, Alessandro, et al. An Event Data Extraction Approach from SAP ERP for Process Mining. International Conference on Process Mining. Springer, Cham, 2022.

Studies: Mathematics (Bsc 2008-2011, Msc 2011-2013) @ University of Padova.

Languages: English (C1), German (A1).