Luca Indelicato

About Me

Born and raised in Padua, now living and working in Milan as a Data Analyst & Scientist. I'm driven by a passion for continuous learning, always exploring new coding languages, tools, and methodologies. Outside of data, my main interests are soccer analytics and tennis.

Professional Experience

Senior Data Analyst

Decathlon Italy | June 2023 - Present

• Analyze customer purchasing and browsing behavior to identify strategic insights aimed at increasing profitability and omnichannel performance.
• Design and implement A/B tests to validate the effectiveness of propensity algorithms and optimize communication journeys, improving conversion rates.
• Develop advanced customer segmentation models (e.g., RFM, behavioral features) to enable personalized marketing campaigns.
• Build and manage data transformation pipelines (dbt) and Business Intelligence dashboards (Tableau) to democratize data.

Tech Stack:

AWS (S3)DatabricksPythonPySparkSQLdbtTableauGitHub

Data Scientist

Prenatal Retail Group | May 2022 - May 2023

• Engineered data pipelines on Google Cloud Platform to collect and process CRM and transactional data.
• Developed RFM segmentation models to analyze the customer journey and inform retention strategies.
• Created Power BI dashboards to monitor loyalty program KPIs for key stakeholders.
• Mentored a junior data scientist, providing feedback on projects and alignment on technical skills.

Tech Stack:

Google Cloud PlatformPythonSQLPower BI

Data Scientist

Boehringer Ingelheim | October 2019 - May 2022

• Led the data task force within the Customer Insight & Engagement Team.
• Analyzed customer interaction data from CRM and Adobe Analytics to uncover engagement patterns.
• Built and maintained Tableau dashboards to track customer engagement metrics across digital channels.
• Applied clustering algorithms to identify and segment high-value customer profiles.

Tech Stack:

Python SQL Tableau Adobe Analytics Adobe Campaign

Data Analyst at Vodafone IT (Consultant)

Techrain | December 2017 - September 2019

• Analyzed customer base KPIs to support outbound and inbound marketing campaigns.
• Conducted churn analysis and customer segmentation to identify at-risk customers and opportunities.
• Automated data processing for outsourcing projects using SAS and Python, reducing manual effort.

Tech Stack:

SAS Python SQL

Technical Skills