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I'm Silvia Depetris, a data-driven analytics professional focusing on marketing analytics and industrial data science. I’ve designed classification algorithms for heavy-vehicle ranking, implemented anomaly detection, and built automated reporting pipelines that cut manual processing time. I’ve delivered data science solutions across automotive, financial services, and luxury retail sectors, helping clients optimize ROI through actionable insights and robust analytics. I thrive in cross-functional, international teams and am a self-directed learner, expanding from R to Python, Databricks, and PySpark. I enjoy turning complex data into clear, business-focused strategies and mentoring teams to scale data capabilities for lasting impact.…I'm Silvia Depetris, a data-driven analytics professional focusing on marketing analytics and industrial data science. I’ve designed classification algorithms for heavy-vehicle ranking, implemented anomaly detection, and built automated reporting pipelines that cut manual processing time. I’ve delivered data science solutions across automotive, financial services, and luxury retail sectors, helping clients optimize ROI through actionable insights and robust analytics. I thrive in cross-functional, international teams and am a self-directed learner, expanding from R to Python, Databricks, and PySpark. I enjoy turning complex data into clear, business-focused strategies and mentoring teams to scale data capabilities for lasting impact.

Silvia Depetris

Data Scientist, Data Analyst, Marketing Analyst, +2

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I'm Silvia Depetris, a data-driven analytics professional focusing on marketing analytics and industrial data science. I’ve designed classification algorithms for heavy-vehicle ranking, implemented anomaly detection, and built automated reporting pipelines that cut manual processing time. I’ve delivered data science solutions across automotive, financial services, and luxury retail sectors, helping clients optimize ROI through actionable insights and robust analytics. I thrive in cross-functional, international teams and am a self-directed learner, expanding from R to Python, Databricks, and PySpark. I enjoy turning complex data into clear, business-focused strategies and mentoring teams to scale data capabilities for lasting impact.…I'm Silvia Depetris, a data-driven analytics professional focusing on marketing analytics and industrial data science. I’ve designed classification algorithms for heavy-vehicle ranking, implemented anomaly detection, and built automated reporting pipelines that cut manual processing time. I’ve delivered data science solutions across automotive, financial services, and luxury retail sectors, helping clients optimize ROI through actionable insights and robust analytics. I thrive in cross-functional, international teams and am a self-directed learner, expanding from R to Python, Databricks, and PySpark. I enjoy turning complex data into clear, business-focused strategies and mentoring teams to scale data capabilities for lasting impact.

Available to hire

I’m Silvia Depetris, a data-driven analytics professional focusing on marketing analytics and industrial data science. I’ve designed classification algorithms for heavy-vehicle ranking, implemented anomaly detection, and built automated reporting pipelines that cut manual processing time. I’ve delivered data science solutions across automotive, financial services, and luxury retail sectors, helping clients optimize ROI through actionable insights and robust analytics.

I thrive in cross-functional, international teams and am a self-directed learner, expanding from R to Python, Databricks, and PySpark. I enjoy turning complex data into clear, business-focused strategies and mentoring teams to scale data capabilities for lasting impact.

Skills

Python

Data Visualization

SQL

Experience Level

Python

Expert

Data Visualization

Expert

SQL

Expert

Work Experience

Data Analyst at CNH Industrial & Iveco Diagnostic Expert Centre

April 1, 2021 - May 1, 2024

Statistical support; developed classification algorithms for heavy-vehicle ranking systems (now in production); implemented anomaly detection systems for mechanical components and driving behavior analysis; created automated reporting systems reducing manual processing time; analyzed correlations between vehicle performance variables to optimize fuel consumption. Self-directed learning expanded from R to Python, Databricks, and PySpark.

Data Analyst at Data Reply

April 1, 2021 - May 1, 2024

Delivered data science solutions for multiple clients, including marketing analytics and forecasting tasks; supported MMM-like models and data-driven ROI optimization; collaborated with international teams across Finance Services, Luxury Retail, and Automotive sectors.

Data Scientist at MAKING SCIENCE - Google Partner

May 1, 2024 - Present

Led data science initiatives focused on MMM implementations; acted as a team lead for analytics projects, driving client ROI improvements through advanced measurement and data orchestration.