Pietro Ansidei

- Data Science Lead for Stream - Optimized TV schedule planning solutions - Full Stack AI Products development (ETL + Modeling + UX/UI Development + CI/CD) - Focus on Optimisation (OrTools) and ML Tools (CatBoost, Metaflow, mlflow, optuna) - Leading product team on industry best practices (docker, uv, streamlit, gitlab-ci, pre-commit) - Technical Recruiting for Data Scientist and Software Engineer positions

- Mentoring and leading Data Science Team on Scrum Agile development (Jira + Confluence) - Lead on standard deployment practices (poetry + docker + Argo Workflow & Datadog on GCP) for scalability + documentation - Workflow optimization - reducing time-to-production from weeks to hours via Data Science Modeling Common Core + Template repository - Creation of a company-wide data dictionary, operating production workflows with SRE team - Integration of original Customer Engagement algorithm

- First machine learning solution in the company designed & deployed in <3 months - Implementation of an original algorithm for Anomaly Detection - Learning-by-doing new technologies: Microsoft Azure Cloud, Databricks, PySpark + SparkSQL, Mongodb, Django for Data API, React.js, PowerBI - Enthusiasm for new topics: Logistics, Vehicle Routing Optimization, Geo Analytics