Stefano Perasso, Ph.D. Email & Phone Number

🚀 Passionate about science, maths, and problem-solving, I bring over a decade of expertise in data science and machine learning. Currently a Lead/Senior Data Scientist at Warner Bros Discovery, my journey fuses academia, consultancy, and industry, enriching my skills and broadening my perspective.🔍 Crafting Insights, Transforming Business RealitiesIn academia, I delved into statistical data analysis within neutrino experiments. Transitioning to data science, I dedicated myself to transforming business landscapes by introducing AI solutions. Always driven by the goal of making complex data insights accessible, my work has garnered client acknowledgment.🧠 Model Precision, Data Quality AdvocateIn my recent role, I engineered a system of ML algorithms for global box office predictions, prioritising Explainable AI (XAI). Simultaneously, I placed a strong emphasis on ensuring data quality, recognising its paramount importance for the success of any model. My efforts in model deployment collaborated seamlessly with data-ML engineers.🌟 Guiding Impactful Projects, Fostering ExcellenceAs Data Science Manager at Warner Bros Discovery, I guided impactful projects, shaped roadmaps, and played a key role in team management. Evolution led to Lead Data Scientist/Senior Data Scientist, focusing on technical excellence and mentoring talents.📚 Fascination with Science, Cosmic ContemplationBeyond data, I am fascinated by science: from neuroscience to evolutionism to cosmology. As a data scientist, I revel in crafting ML models, data storytelling, and extracting insights through XAI—it's like playing and having fun.🌐 Multilingual Perspective, Adapting GloballyFluent in French, English, and Italian, my multilingual proficiency enriches cross-cultural collaboration. Drawing from experiences in the U.S. and Europe, I seamlessly adapt, fostering a global mindset for effective engagement.🔧 Skill Highlights- Data Science: Machine Learning, Optimisation, Explainable AI (XAI), End-to-End Development- Technical: Python (pandas, sklearn, lightgbm, shap, ...), SQL, Cloud (GCP), MLOps (Git, Jira, MLflow, Airflow), DataOps (Import, Quality), Data Visualisation (Apache Superset, Plotly, R-Shiny)- Management: Leadership, Strategic Planning, Team Management, Communication

Listed skills include Physics, Latex, Data Analysis, C++, and 35 others.