- I enjoy dancing in my free time, especially salsa and hip-hop.
- I am an avid hiker and love exploring new trails in the mountains.
- Painting is a passion of mine, and I often spend hours creating colorful abstract art pieces.
- I have a green thumb and take pride in gardening, growing various fruits and vegetables in my backyard.
- Cooking is another hobby of mine, and I love experimenting with different cuisines and recipes.
- I am a bookworm and can often be found lost in a good novel or non-fiction book.
- Traveling is a big part of my life, and I make it a point to visit at least one new country every year.
- Mail: elizabeth.rodrigues@bvlgarihotels.com
- Address: The Bvlgari Hotel, 171 Knightsbridge, London SW7 1DW, UK
- Phone: +44 (0)20 7151 1010
- Name: Elizabeth Rodrigues
- LinkedIn: linkedin.com/in/elizabeth-rodrigues-bvlgari
Data Scientist, 2014 - 2016 at Google
- Developed machine learning models to optimize search algorithms.
- Conducted data analysis and visualization to extract actionable insights from large datasets.
- Collaborated with cross-functional teams to implement data-driven solutions for product enhancements.
- Presented findings to stakeholders and provided recommendations for business strategies.

Senior Data Scientist, 2012 - 2014 at Amazon
- Led a team of data scientists in developing predictive analytics models for customer behavior forecasting.
- Implemented scalable data pipelines using cloud-based technologies for real-time data processing.
- Worked closely with product managers to define key performance indicators and measure the impact of data-driven initiatives.
- Mentored junior data scientists and conducted training sessions on advanced analytical techniques.
Proficient in Python, R, and SQL for data manipulation and analysis. Skilled in machine learning algorithms and statistical modeling to derive actionable insights from complex datasets.
- Master of Science in Data Science, Politecnico di Milano, 2012
- Bachelor of Science in Computer Science, Università degli Studi di Milano, 2009
Data Scientist, 2014 - 2016 at Google
- Developed machine learning models to optimize search algorithms.
- Conducted data analysis and visualization to extract actionable insights from large datasets.
- Collaborated with cross-functional teams to implement data-driven solutions for product enhancements.
- Presented findings to stakeholders and provided recommendations for business strategies.

Senior Data Scientist, 2012 - 2014 at Amazon
- Led a team of data scientists in developing predictive analytics models for customer behavior forecasting.
- Implemented scalable data pipelines using cloud-based technologies for real-time data processing.
- Worked closely with product managers to define key performance indicators and measure the impact of data-driven initiatives.
- Mentored junior data scientists and conducted training sessions on advanced analytical techniques.

- I enjoy dancing in my free time, especially salsa and hip-hop.
- I am an avid hiker and love exploring new trails in the mountains.
- Painting is a passion of mine, and I often spend hours creating colorful abstract art pieces.
- I have a green thumb and take pride in gardening, growing various fruits and vegetables in my backyard.
- Cooking is another hobby of mine, and I love experimenting with different cuisines and recipes.
- I am a bookworm and can often be found lost in a good novel or non-fiction book.
- Traveling is a big part of my life, and I make it a point to visit at least one new country every year.

Proficient in Python, R, and SQL for data manipulation and analysis. Skilled in machine learning algorithms and statistical modeling to derive actionable insights from complex datasets.

- Mail: elizabeth.rodrigues@bvlgarihotels.com
- Address: The Bvlgari Hotel, 171 Knightsbridge, London SW7 1DW, UK
- Phone: +44 (0)20 7151 1010
- Name: Elizabeth Rodrigues
- LinkedIn: linkedin.com/in/elizabeth-rodrigues-bvlgari

- Master of Science in Data Science, Politecnico di Milano, 2012
- Bachelor of Science in Computer Science, Università degli Studi di Milano, 2009