I enjoy swimming as a hobby, as it allows me to relax and stay active outside of my work as a Data Scientist. In addition, I also love hiking in the mountains and playing the guitar in my free time.
- Mail: grace.rocha@hoteldecrillon.com
- Address: 10 Place de la Concorde, 75008 Paris, France
- Phone: +33 1 44 71 15 00
- Name: Grace Rocha
- LinkedIn: linkedin.com/in/gracerocha
- Proficient in advanced statistical analysis techniques such as machine learning and predictive modeling to derive actionable insights from complex datasets.
- Skilled in data visualization tools like Tableau and Power BI to effectively communicate findings and drive data-driven decision-making within organizations.
- Smith, J., Johnson, A. (2011). "Predictive Modeling of Customer Churn in Telecommunications Industry." Journal of Data Science and Analytics.
  
- Brown, S., Smith, J. (2012). "Anomaly Detection Techniques for Cybersecurity Applications." Proceedings of the IEEE International Conference on Data Mining.

- Johnson, A., Smith, J. (2013). "Sentiment Analysis of Social Media Data Using Machine Learning Algorithms." ACM Transactions on Intelligent Systems and Technology.

- Smith, J., Lee, C. (2014). "Feature Selection Methods for High-Dimensional Data in Healthcare Analytics." Journal of Health Informatics.

- Wang, L., Smith, J. (2015). "Deep Learning Approaches for Image Recognition in Autonomous Vehicles." Neural Computing and Applications.

- Smith, J., Chen, Y. (2016). "Time Series Forecasting Using Recurrent Neural Networks." Expert Systems with Applications.

- Kim, H., Smith, J. (2017). "Text Classification Techniques for Document Clustering in Legal Domain." Information Processing & Management.

- Smith, J., Liu, M. (2018). "Explainable AI Models for Credit Risk Assessment in Financial Services." Journal of Business Intelligence Research.

-
- Master of Science in Data Science, Technical University of Munich, 2011
- Bachelor of Science in Computer Science, Ludwig Maximilian University of Munich, 2009
- Smith, J., Johnson, A. (2011). "Predictive Modeling of Customer Churn in Telecommunications Industry." Journal of Data Science and Analytics.
  
- Brown, S., Smith, J. (2012). "Anomaly Detection Techniques for Cybersecurity Applications." Proceedings of the IEEE International Conference on Data Mining.

- Johnson, A., Smith, J. (2013). "Sentiment Analysis of Social Media Data Using Machine Learning Algorithms." ACM Transactions on Intelligent Systems and Technology.

- Smith, J., Lee, C. (2014). "Feature Selection Methods for High-Dimensional Data in Healthcare Analytics." Journal of Health Informatics.

- Wang, L., Smith, J. (2015). "Deep Learning Approaches for Image Recognition in Autonomous Vehicles." Neural Computing and Applications.

- Smith, J., Chen, Y. (2016). "Time Series Forecasting Using Recurrent Neural Networks." Expert Systems with Applications.

- Kim, H., Smith, J. (2017). "Text Classification Techniques for Document Clustering in Legal Domain." Information Processing & Management.

- Smith, J., Liu, M. (2018). "Explainable AI Models for Credit Risk Assessment in Financial Services." Journal of Business Intelligence Research.

-

- Master of Science in Data Science, Technical University of Munich, 2011
- Bachelor of Science in Computer Science, Ludwig Maximilian University of Munich, 2009

- Proficient in advanced statistical analysis techniques such as machine learning and predictive modeling to derive actionable insights from complex datasets.
- Skilled in data visualization tools like Tableau and Power BI to effectively communicate findings and drive data-driven decision-making within organizations.



I enjoy swimming as a hobby, as it allows me to relax and stay active outside of my work as a Data Scientist. In addition, I also love hiking in the mountains and playing the guitar in my free time.

- Mail: grace.rocha@hoteldecrillon.com
- Address: 10 Place de la Concorde, 75008 Paris, France
- Phone: +33 1 44 71 15 00
- Name: Grace Rocha
- LinkedIn: linkedin.com/in/gracerocha