Personal Picture

Daniele Gadler

Data Scientist

daniele.gadler at yahoo.it




💡~/About

You may download the latest version of my CV at this URL.

💬 Introduction: I am a trilingual data scientist fluent in English, German and Italian, passionate about managing data and productionizing machine learning, AI and data science science solutions. I hold a MSc. in Computer Science and Networking (cum laude) from the Scuola Superiore Sant’Anna and the University of Pisa, from which I graduated in 2019.

📊 Data scientist experience: Currently, I am working as Head of AI Solutions at STADA Group, a multi-national pharmaceutical company located next to Frankfurt am Main, Germany. From March 2021 until December 2023, I have been working as a Data Scientist at One Data GmbH on the optimization of the supply chain for the production of medicines for a large German pharmaceutical company. Before that, I worked as a Data Scientist at Südtiroler Informatik AG and developed models to predict COVID insurgence in patients and on time series to monitor and prevent the spread of COVID in South Tyrol, Italy.

📝 Research experience: At the National Research Institute of Pisa, I worked on research for Recurrent Neural Network quantization in IoT devices. At the Free University of Bolzano-Bozen, I investigated the usage of Hidden Markov Models for modelling system usage in complex systems and on edge-based compute clusters for developing countries, and at the Technische Universität Kaiserslautern studied techniques to identity Wi-Fi devices in networks based on packets’ electromagnetic fingerprint. This research resulted in the following publications: URL

👨‍🎓~/Education

  • September 2017 - October 2019: Scuola Superiore Sant'Anna and University of Pisa. Master's in Computer Science and Networking. Graduation grade: 110 cum laude/110.
  • October 2016 - July 2017: Technische Universität Kaiserslautern. Exchange Erasmus+ Student at the Department of Computer Science.
  • October 2014 - July 2017: Free University of Bolzano-Bozen. Bachelor in Computer Science and Engineering. Graduation grade: 106/110.

🚀~/Work Experience

  • STADA Group. Frankfurt am Main, Germany.
    • Head of AI Solutions. September 2025 - Now
    • Senior Data Scientist. February 2024 - August 2025
    • - Leading the development of AI, Machine Learning, Data Science projects with internal and external teams. Main Technologies used: Microsoft Azure, Data Factory, Google Cloud Platform, Databricks and Python
    • - Managing AI projects' scoping, budget and stakeholders, to ensure a valid ROI for STADA
    • - Led the implementation of STADA GPT (AI Chatbot), increasing its adoption by 1000% within 18 months
    • - Establishing an AI Governance framework and structured use-case in-take process
    • - Training colleagues on Generative AI, driving the adoption of Generative AI tools for daily work.
  • One Data GmbH. Frankfurt am Main, Germany.
    • Senior Data Scientist. April 2023 - December 2023
    • - Led and developed productive data science solutions in Spark, SQL, Python and the ONE DATA platform
    • - Led and coordinated a team of up to 4 colleagues for the development of data science solutions
    • - Developed a tool for supply chain optimization for a large German pharmaceutical company used in production, avoiding critical material stock outs URL
    • - Prototyped a tool for configuration optimization for a luxury German car manufacturer
    • Data Scientist. March 2021 - March 2023
    • - Carried out DataOps, data engineering, data modeling, data visualization to fulfill project goals
    • - Created time series and simulation analyses for scenario-based production of medicines
    • - Led customer communication and management, held regular agile sprints' planning and requirements' analysis
  • Südtiroler Informatik AG. Bozen, Italy.
    • Data Scientist. October 2019 - January 2021
    • - Led and developed data science and machine learning projects in SAS, SAS Viya, Microsoft Azure and Python
    • - Prototyped a tool for modeling severe Covid-19 illness based on patients’ symptoms and created time series analysis for monitoring and preventing the spread of Covid-19 in South Tyrol
    • - Prototyped a tool for predicting road traffic trends from IoT and weather data
    • - Led the development of a project for the predictive maintenance of South Tyrol's road infrastructure from Google Street View images
    • - Led the development of a project for farmers' crop funding automation from satellite images. URL
  • National Research Council (CNR). ISTI Institute - HPC Lab . Pisa, Italy.
    • Master's Thesis Research Fellow. March - October 2019
    • - Proposed, implemented and validated experimentally "Federated Quantization" in PyTorch and PySyft
    • - Introduced quantization in federated learning and reduced the amount of network data transmitted by 8.70x, while still maintaining a high model accuracy for Recurrent Neural Networks
    • - Contributed to the “PySyft'' open-source framework for privacy-preserving federated learning.
  • Free University of Bolzano-Bozen. Faculty of Computer Science. Bozen, Italy.
    • Research Data Scientist. February - March; July – September 2018
    • - Developed a distributed and parallel tool in R and Java Hadoop for analyzing logs of the ALMA astronomical observatory to identify system errors and proposing system optimizations through Hidden Markov Models modeling of semi-structured logs.
  • Technische Universität Kaiserslautern. Distributed Computer Systems Lab (DISCO). Kaiserslautern, Germany
    • Research Assistant. July – September 2017
    • - Carried out a theoretical and experimental comparison of state-of-the-art Wi-Fi devices' packet transmission fingerprinting techniques with L1 physical-layer features in the networking stack.
  • Free University of Bolzano-Bozen. Faculty of Computer Science. Bozen, Italy.
    • Teaching Tutor. April – September 2016
    • - Supported students attending the “Advanced Programming” course in carrying out assignments, deepening course content and preparing for exams. Focus on advanced features of the Java 8 programming language.
  • Mullen Lowe Profero. Beijing, China.
    • Web Developer Intern. February – March 2016
    • - Earned a sponsored internship by CRCC Asia at Mullen Lowe Profero in China, a leading international corporation in the field of website building
    • - Assisted development teams in website plugin development in Wordpress, Joomla and Droopal
    • - Drafted and implemented QA testing plans and code refactoring
    • - Carried out websites'​ migrations and ensured websites'​ reliability.
  • Free University of Bolzano-Bozen. Faculty of Computer Science. Bozen, Italy.
    • Research Support. March - December 2015
    • - With Prof. Sven Helmer. Maintained and enhanced a large datacenter composed of over 100 mini-computers “Raspberry Pi”.
    • - With Prof. Barbara Russo. Identified issues and changes responsible for energy consumption in the ART Android Virtual Machine.
  • Flying Squirrel Entertainment. Eindhoven, Netherlands (remote).
    • Junior Programmer. June 2014 - March 2015
    • - Developed, tested and released C# code in Unity as part of the development team for the videogame "Battle Cry of Freedom"
    • - Implemented the UX/UI and frontend for character customization menus
    • - Implemented a recursive building destruction system with artillery based on Unity game assets

🏆~/Awards and Scholarships

  • 2024. STADA e-Learning Hackathon Winner: Awarded by STADA Arzneimittel AG's Culture & People Team for the development of innovative internal e-Learning courses on GenAI & Data Visualization, as part of the CTRL+ALT+DEFEAT team.
  • 2020. IDC Award - Sustainable Urban Planning and Administration: Awarded the 1st prize for the innovative use of machine learning and satellite imaging to the AgriML project developed at Südtiroler Informatik AG. Goal of the project was to transform the process of assigning farming grants to rural communities in South Tyrol.
  • 2020. Best Graduate Award of the Master's in Computer Science and Networking - Scuola Superiore Sant'Anna. Best graduation grade, exam grades (GPA) and least amount of time spent to graduate from the Master in Computer Science and Networking among master's graduates.
  • 2018. Best Student Performance Award of the Master's in Computer Science and Networking - Scuola Superiore Sant'Anna. Best GPA and number of exams passed among 1st year students.
  • 2016 - 2017. Erasmus+ Scholarship from the Free University of Bolzano-Bozen for an Erasmus+ exchange year at the Technische Universität Kaiserslautern.
  • 2015. CRCC Asia Italy Internship Scholarship at the Mullen Lowe Profero company in Beijing. China.
  • 2014. “I Giovani e le Scienze”, Milano. INESPO Award with “APPiedi per Trento”, a distributed Android application for finding the least polluted path in the city of Trento, Italy.
  • 2013. “Fondazione Bruno Kessler” scholarship for "WebValley", an ICT campus for young scientists in Trentino, Italy.

📄~/Certificates and Habilitations

  • 2024. Google Cloud Fundamentals. Google. Cloud computing certificate.
  • 2024. Microsoft Azure AI Fundamentals. Microsoft. AI-900 cloud computing certificate.
  • 2023. Microsoft Azure Fundamentals. Microsoft. AZ-900 cloud computing certificate.
  • 2020. State Habilitation as “Information Engineer” – section A. University of Trento. 56/60.
  • 2015. Zertifikat für Zweisprachigkeit der Provinz von Bozen. German and Italian C1 Level.
  • 2013. Certificate of Advanced English (CAE). University of Cambridge. Grade A – C2 English Level

📝~/Publications

  • 2021. Neural Network Quantization in Federated Learning at the Edge. Information Sciences Journal, Elsevier. October 2021. Volume 575, Pages 417-436. Link
  • 2017. Mining Logs to Model the Use of a System. ACM/IEEE ESEM '17 . International Symposium on Empirical Software Engineering and Measurement. Toronto, Canada. Link
  • 2016. Bringing the Cloud to Rural and Remote Areas via Cloudlets . ACM DEV '16 . Proceedings of the 7th Annual Symposium on Computing for Development. Nairobi, Kenya. Link

📢~/Talks

  • 18.11.2020. PySyft - An Open-Source Framework for Privacy-Preserving Distributed Machine Learning. Data Natives Conference. Berlin, Germany. Link
  • 13.11.2020. PySyft - An Open-Source Framework for Privacy-Preserving Distributed Machine Learning. South Tyrol Free Software Conference. Bozen, Italy. Link
  • 05.11.2020 Parallel session on adoption challenges toward a European Cloud Federation enabling European Data Spaces . European Big Data Value Forum 2020. Berlin, Germany. Link .

㊗️~/Languages


Native
Proficient - fluent
Advanced - fluent
Discrete

💻 ~/Projects

SIAG - Machine Learning for Traffic Forecast (2019 - 2020)
Machine Learning prototype aimed at predicting road traffic trends in South Tyrol based on IoT and weather sensor data via neural networks, random forest and decision tree models. It uses a Flask frontend for data visualization on a Google Map.
WeAgainstVirus Hackathon - PharmaQ Computer Vision (2020)
Web portal for pharmacy queue estimation during the Covid-19 pandemic. Grab your phone, take a picture, upload it on the website, and the number of people waiting in queue is detected and reported on an interactive map! Based on Flask, a server DB, a faces obfuscator and Nanonetes' API for people detection.


OpenMined - PySyft project (2019 - 2021)
Collaborator to the PySyft project of the OpenMined community with code fixes for the training of Recurrent Neural Networks, Long-Short Term Memory Models, Gated Recurrent Units and optimizations for low-power IoT devices such as Raspberry PIs.
SPADE - Sensing, Processing and Analyzing Data in an Embedded IoT Device (2019)
Implementation of an ML-powered edge computing system for the predictive maintenance of machines, based on a Beagleboard green and an accelerometer. It models the sensors' vibrations using a PCA algorithm and a Neural Network autoencoder to detect abnormal machine behaviour and reports the state on a Grafana UI.


Automatic Hidden Markov Model Generation (2016 - 2019)
Scripts to generate Hidden Markov Models automatically and manually, based on the paper " Mining Logs to Model the Use of a System " implemented in Java Hadoop and R.
Sobel Filter on CUDA, C and OpenCV (2019)
Native C, CUDA, OpenCV versions of the Sobel Filter, an algorithm computing the countour of an image based on the partial derivatives of an image over the X and Y axes.


Persistent World Scripts for Warband (2014 - 2018)
Set of scripts for the "Persistent World" and "Persistent Kingdoms" mod of Mount & Blade: Warband that add roleplay and persistent functionalities to the game, connected to a MySQL Database and a PHP backend.
Data Mining (2018-2019)
Application of data mining techniques such as clustering, supervised classification and association rules to the task of banking customer default prediction in Python. "Lost in Data" team in the 2018-2019 Kaggle challenge.


Dot Matrix Printer (2014-2015)
Hand-made printer using felt tip pens as ink, created based on an Arduino and a Raspberry PI. The system is fully accessible via a web-based interface for uploading images to be printed.
JSnake (2015)
The famous Nokia phone game "Snake" implemented with the Java 8 programming language using, among others, multithreading and generics.


💼 ~/Lecture Notes


Lecture Notes taken during the Master's in Computer Science and Networking 2017-2019 in Pisa and during my Bachelor. All the material released is intended for didactic use only.

Academic Year 2018-2019

Academic Year 2017-2018

  • Teletraffic Engineering - UniPi, Lecture notes based on the classes by Prof. Stefano Giordano
    Theory
  • Parallel and Distributed Systems - UniPi by Prof. Marco Danelutto
    Final project report     Project code
  • Stochastic Processes and Queueing Theory - SSSUP, Lectures notes based on the classes and book by Prof. Giancarlo Prati
    Theory part one     Theory part two

Academic Year 2016-2017 - Technische Universität Kaiserslautern

  • Seminar for Embedded Systems and Computer Graphics by Prof. Karsten Berns
    Survey of state-of-the-art techniques for object classification in autonomous driving cars.