Luca Milan
Warszawa,14
Summary
A recent Physics graduate and current student of Data Science with a strong background in IT, data analysis, and theoretical physics. Equipped with excellent analytical and problem-solving skills, he is driven by curiosity and a passion for technological innovation and mathematics, allowing him to stay continuously up to date with technological advancements and new scientific methodologies.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Sales Operations and BI Analyst
Astek - Smith+Nephew Project
Warszawa, Mazowieckie
06.2025 - 12.2025
- Advanced proficiency in Microsoft Excel (pivot tables and database management).
- Use of Power BI for data visualization, reporting, and KPI monitoring.
- Strong knowledge of Sales Operations processes, including forecasting, pipeline management, and performance tracking.
- Use of Outlook for workflow coordination and communication management.
- Proficient in Esker for digital document processing and workflow automation.
- Familiar with F2A for financial and administrative process support.
- Use of DocuSign for electronic signature workflows and document compliance.
- Data analysis and business intelligence for supporting strategic sales decisions.
- Process optimization through automation and data-driven insights.
- Cross-functional collaboration with finance, sales, and supply chain teams to ensure operational efficiency.
AI Trainer
Outlier AI
11.2024 - 06.2025
- Creation of a prompt designed to challenge algorithms in Python, C++, and MatLab.
- Review and improvement of responses generated by an AI based on an initial prompt.
- Participation in several projects focusing on the development of artificial intelligence.
Data Analyst
Ospedale Valduce
Como, IT
06.2021 - 06.2022
- Experience as a data analyst at a regional hospital.
- Management and constant updating of databases.
- Use of computer programs such as Microsoft Excel, Word, PowerPoint.
Education
Master of Science - Data Science And Business Analytics
Uniwersytet Warszawski
WarszawaBachelor of Science - Physics
Università Degli Studi Dell'Insubria
Como, IT05.2025
Physics - Erasmus in Valencia
Universitat De Valencia
Valencia, ES02.2024
Skills
- Python
- Machine Learning (Neural Networks, Gradient Boosting, Random Forest,)
- R
- SQL
- C
- LateX
- MatLab
- Excel
- PowerPoint
- Outlook
- Word
- Teamwork
- Communication
- Organization
- Data cleansing
- Multitasking
Accomplishments
• Sports Analytics Platform with Machine Learning Predictions, January 2026 (Python)
Python/Streamlit web app for match data analysis and ML-based outcome prediction using Random Forest and Gradient Boosting classifiers.
• Integration of Ensemble Models in Predictive Analysis for Football Events, May 2025 (Python)
Application of deep learning strategies for statistical selection and analysis Combination of AI models: Neural Network, Random Forest, Gradient Boosting Use of loss functions, accuracy metrics, and confusion matrices for model evaluation System of comparison with Betting agencies odds Football players performances with Neural Networks January 2025 Project based on the creation of a Neural Network capable of simulating eras and providing data predictions relating to football performances.
• Football players performances with Neural Networks, January 2025 (Python)
Project based on the creation of a Neural Network capable of simulating eras and providing data predictions relating to football performances.
• Image Segmentation via Unsupervised Clustering | RGB Color Analysis, December 2025 (R)
Implemented comparative clustering analysis (K-Means vs. CLARA) on 500K+ RGB pixels from a sports image, integrating PCA/t-SNE for visualization and silhouette-based validation. Automated optimal cluster selection and achieved 68.5% clustering quality, demonstrating proficiency in dimensionality reduction, algorithm benchmarking, and data-driven decision making in R.
• Customer Behavior Analysis Using Association Rules, January 2026 (R)
Implemented unsupervised learning techniques (Apriori algorithm) to discover purchasing patterns in customer data. Analyzed relationships between demographics and spending behavior using Python, mlxtend, and NetworkX for visualization.
Python/Streamlit web app for match data analysis and ML-based outcome prediction using Random Forest and Gradient Boosting classifiers.
• Integration of Ensemble Models in Predictive Analysis for Football Events, May 2025 (Python)
Application of deep learning strategies for statistical selection and analysis Combination of AI models: Neural Network, Random Forest, Gradient Boosting Use of loss functions, accuracy metrics, and confusion matrices for model evaluation System of comparison with Betting agencies odds Football players performances with Neural Networks January 2025 Project based on the creation of a Neural Network capable of simulating eras and providing data predictions relating to football performances.
• Football players performances with Neural Networks, January 2025 (Python)
Project based on the creation of a Neural Network capable of simulating eras and providing data predictions relating to football performances.
• Image Segmentation via Unsupervised Clustering | RGB Color Analysis, December 2025 (R)
Implemented comparative clustering analysis (K-Means vs. CLARA) on 500K+ RGB pixels from a sports image, integrating PCA/t-SNE for visualization and silhouette-based validation. Automated optimal cluster selection and achieved 68.5% clustering quality, demonstrating proficiency in dimensionality reduction, algorithm benchmarking, and data-driven decision making in R.
• Customer Behavior Analysis Using Association Rules, January 2026 (R)
Implemented unsupervised learning techniques (Apriori algorithm) to discover purchasing patterns in customer data. Analyzed relationships between demographics and spending behavior using Python, mlxtend, and NetworkX for visualization.
Languages
Italian
Native
Native
English
Advanced (C1)
C1
Spanish
Upper Intermediate (B2)
B2
Polish
Beginner
A1
Certification
- B2 First, Cambridge Assessment English
- ECDL, IT course based on the use of the Microsoft Office package.
Driving License
- Driving License B
Timeline
Sales Operations and BI Analyst
Astek - Smith+Nephew Project
06.2025 - 12.2025
AI Trainer
Outlier AI
11.2024 - 06.2025
Data Analyst
Ospedale Valduce
06.2021 - 06.2022
Master of Science - Data Science And Business Analytics
Uniwersytet Warszawski
Bachelor of Science - Physics
Università Degli Studi Dell'Insubria
Physics - Erasmus in Valencia
Universitat De Valencia