Antonio Pistillo — Ph.D.

SUMMARY

I help business stakeholders achieve key performances on million-level customer bases through data, generative Artificial Intelligence and Machine Learning solutions.

I focus on the production of actionable predictions and explanations used within example applications such as up-selling, cross-selling, churn saving, NPS and customer care.

I have a time-tested relationship with technology and teamwork: I take care of human factors as well as team-level technical and soft skills.

Key skills and tools:

- LLM : Hugging Face transformers, Llama, Mistral, Lora, Bert, DistilBert, Bart, Llama Guard.

- Deep Learning for customer lifetime value and journey optimization, buy and churn propensity. - Data Analysis, Regression, Classification and Clustering for predictive and explainable solutions.

- Management of technical and non-technical stakeholders.

- Formulation of business problems, e2e technical solutions and A/B testing with live campaigns. - Coding: SQL, PySpark, Python, Scikit-Learn, Tensorflow, Keras, Pythorch, Pandas, Numpy, ONNX, C++.

- MLOps: Github, Jenkins, Airflow, Cloud Build.

PROFESSIONAL EXPERIENCE

March 2019 – onwards

Artificial Itelligence and Big Data Scientist senior at Vodafone s.p.a. (Milan, Italy).

Activities:

- End-to-end development of business cases and productionization of ML solutions for prediction and

Explainability, focus on up/cross-selling, churn saving and A/B testing with live commercial campaigns.

- Ticket resolution for customer care solved with genAI through live call text summarization and

classification.

- Leading teams with mixed internal/external members with agile methodologies. - Development of ML solutions for customer NPS, journey and value optimization through finding best

commercial actions according to propensity to buy, churn and detraction/promotion.

- MLOps and data-science Life cycle phases with IT and stake-holders management.

- Keeping scientific knowledge up to date and propagated within Big Data department.

Tools:

- Coding: SQL, PySpark, Python, Jupyter Notebooks, Kedro, Scikit-Learn, Scikit-Image, Keras Tensorflow,

Pythorch, XGBoost, Numpy, Pandas, Shapley.

- LLM : Hugging Face transformers, Bert, Llama, Llama Guard. - MLOps: GitHub, Jenkins, Airflow, Google Vertex AI, Big Query, ONNX.

October 2017 – March 2019

Data Scientist at Accenture s.p.a. - ML Centre of Excellence (Milan, Italy).

Activities:

- AI/ML Learning based Projects and Proofs of Concept for Manufacturing, Telco and Banking sectors.

- Deep Learning and Machine Vision based Proofs of Concept and Projects for:

- Energy (recognition of human operators wearing safety equipment)

- Manufacturing (prediction of level of production non-conformities)

- Banking (prediction of asset price using macro-economic data)

- Activities in all Data-Science Life cycle phases with team co-ordination, initial qualification, offer

quantification, technical negotiation project development and delivery.

Tools:

- Coding: Python, Jupyter Notebooks, Scikit-Learn, Scikit-Image, OpenCV, Pillow, Keras Tensorflow,

XGBoost, Numpy, Pandas, Resnet, Vgg.

- Cloud: Amazon Sagemaker, Microsoft Azure Machine Learning.

- Web-service deployment: Microsoft Azure Machine Learning, Docker containers.

November 2016 – September 2017

Data Scientist for Industry 4.0 at Techedge group s.p.a. (Milan, Italy)

November 2015 – July 2016

R&D Machine Learning for intelligent prosthetics at Roadrunnerfoot Engineering s.r.l. (Milan, Italy).

October 2013 – November 2015

R&D Machine Learning for intelligent automation Laboratorio Elettrofisico Engineering s.r.l. (Milan, Italy).

EDUCATION

• Ph.D. in Machine Learning Techniques for Human-Robot Collaboration
• Joint use of Imitation Learning and Control techniques to provide robots with suitable capabilities needed to learn from and cooperate with human users in both industrial and domestic scenarios.
• 2010 January – 2013 April
• M.Sc. in Automation Engineering
• Hidden Markov Models for Artificial Intelligence in Human-Robot Interaction.
• 2006 – 2009
• Erasmus student at Brunel University
• 2006 – 2007
• B.Sc. in Automation Engineering
• Modelling and non-linear control of engines based on Feedback Linearization.
• 2003 – 2006