I am a Data Scientist who enjoys rock climbing in my free time, challenging myself both mentally and physically. I also have a passion for cooking new recipes from around the world and exploring different cuisines to satisfy my taste buds. Additionally, I find solace in practicing yoga to maintain balance and mindfulness amidst the demands of my analytical work.
- Mail: benjamin.marques@fourseasons.com
- Address: 31 Avenue George V, 75008 Paris, France
- Phone: +33 1 49 52 70 00
- Name: Benjamin Marques
- LinkedIn: linkedin.com/in/benjamin-marques-paris
Data Scientist, 2018 - 2020 at Google
- Developed machine learning models to optimize search algorithms and improve user experience.
- Collaborated with cross-functional teams to analyze large datasets and derive actionable insights.

Junior Data Scientist, 2016 - 2018 at IBM
- Conducted statistical analysis on customer data to identify trends and patterns for targeted marketing campaigns.
- Assisted in the development of predictive analytics models to forecast sales performance.
As a seasoned Data Scientist, I possess a unique blend of technical expertise and business acumen that enables me to extract actionable insights from complex datasets. My proficiency in machine learning algorithms and statistical analysis allows me to develop predictive models that drive strategic decision-making. With a proven track record of delivering innovative solutions to real-world problems, I excel at translating data into meaningful stories that inform key stakeholders. Additionally, my strong communication skills and ability to collaborate effectively with cross-functional teams make me a valuable asset in any data-driven organization.
- Published a paper on "Predictive Modeling in Healthcare" in the Journal of Health Informatics, 2016
- Co-authored a research article on "Machine Learning Applications in Finance" in the International Journal of Financial Engineering, 2017
- Presented findings on "Natural Language Processing for Sentiment Analysis" at the IEEE Conference on Data Science, 2018
- Contributed to a study on "Deep Learning Techniques for Image Recognition" published in the Proceedings of the Neural Networks Symposium, 2019
- Led a team project on "Time Series Forecasting with Recurrent Neural Networks" featured in the Machine Learning Showcase, 2020
I am a Data Scientist who enjoys rock climbing in my free time, challenging myself both mentally and physically. I also have a passion for cooking new recipes from around the world and exploring different cuisines to satisfy my taste buds. Additionally, I find solace in practicing yoga to maintain balance and mindfulness amidst the demands of my analytical work.
Data Scientist, 2018 - 2020 at Google
- Developed machine learning models to optimize search algorithms and improve user experience.
- Collaborated with cross-functional teams to analyze large datasets and derive actionable insights.

Junior Data Scientist, 2016 - 2018 at IBM
- Conducted statistical analysis on customer data to identify trends and patterns for targeted marketing campaigns.
- Assisted in the development of predictive analytics models to forecast sales performance.
As a seasoned Data Scientist, I possess a unique blend of technical expertise and business acumen that enables me to extract actionable insights from complex datasets. My proficiency in machine learning algorithms and statistical analysis allows me to develop predictive models that drive strategic decision-making. With a proven track record of delivering innovative solutions to real-world problems, I excel at translating data into meaningful stories that inform key stakeholders. Additionally, my strong communication skills and ability to collaborate effectively with cross-functional teams make me a valuable asset in any data-driven organization.
- Published a paper on "Predictive Modeling in Healthcare" in the Journal of Health Informatics, 2016
- Co-authored a research article on "Machine Learning Applications in Finance" in the International Journal of Financial Engineering, 2017
- Presented findings on "Natural Language Processing for Sentiment Analysis" at the IEEE Conference on Data Science, 2018
- Contributed to a study on "Deep Learning Techniques for Image Recognition" published in the Proceedings of the Neural Networks Symposium, 2019
- Led a team project on "Time Series Forecasting with Recurrent Neural Networks" featured in the Machine Learning Showcase, 2020
- Mail: benjamin.marques@fourseasons.com
- Address: 31 Avenue George V, 75008 Paris, France
- Phone: +33 1 49 52 70 00
- Name: Benjamin Marques
- LinkedIn: linkedin.com/in/benjamin-marques-paris