Cristian Garoli

Data Scientist, TPA Global

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Cristian's Bio

Cristian Garoli is a Data Scientist with experience in data analytics, machine learning, and bigdata management, holding a Master’s in Data Science earned across Italy and Germany. He has professional experience across Europe in manufacturing and IT consulting, with a focus on predictive modeling, data visualization, digitalization, and the optimization of operational processes. His skills include Python-based modeling, developing dashboards in Power BI and QlikView, building machine and deeplearning models, and analyzing and developing AI platforms using large language models (LLMs). 

Credentials & Qualifications

  • Master’s degree in Data Science, pursued between Italy and Germany, with a strong international academic background and exposure to diverse research and learning environments. 

  • 6+ years of experience in data analytics, machine learning, and business intelligence 

  • Competence in statistics, econometrics, programming (Python, R, Stata), database management (SQL and NoSQL), data visualization (Power BI and QlikView), and cloud (AWS and Azure) to support digitalization and operational optimization 

  • Ongoing professional development with certifications including: Machine Learning and Data Science with Python; Deep Learning and Neural Networks with Python; Computer Vision with Python and OpenCV; Data Science Math Skills; Python and Statistics for Financial Analysis; Digital Growth and Digital Economy Opportunities for Enterprises 

Areas of Expertise

Specialties

Data Science, Machine Learning, Deep Learning, Predictive Modeling, Big Data Management, Data Visualization, large language models (LLMs) and prompt engineering

Countries of Experties

Europe

Industries

Manufacturing, IT Consulting, Business Intelligence, Education, Data driven Operations 

Professional Background

  • Experience across manufacturing, IT consulting, business intelligence, and education

  • Core strengths:

    • Machine learning

    • Predictive analytics

    • Data pipeline design

    • Dashboard development

    • Deep learning model implementation

  • Led data-driven initiatives in Italy, Germany, and the Netherlands by: Collaborating with cross-functional teams on data strategy, Driving performance optimization, Enabling real-time KPI monitoring

  • Actively contributes to: Tool building initiatives, Internal training on analytics, data visualization platforms, and data analysis best practices

Proven Track Record

  • Built predictive models to estimate financial and production trends and optimize resource allocation 
  • Designed and implemented data pipelines and ETL processes to streamline cross departmental reporting 
  • Developed real time dashboards in Power BI / QlikView to monitor KPIs and enhance operational decision-making 
  • Applied machine and deep learning techniques to optimize operational processes 
  • Led data science projects with Python, R, SQL, and Neo4j for timeseries forecasting and classification tasks 
  • Delivered internal training on statistical and econometric tools and on analytical best practices 

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