- Mail: amelia.andrade@mandarinoriental.com
- Address: The Mandarin Oriental, 5 Connaught Road Central, Hong Kong
- Phone: +852 1234 5678
- Name: Amelia Andrade
- LinkedIn: linkedin.com/in/ameliaandrade
Data Scientist, 2021 - Present at TechCorp
- Conducting data analysis and modeling to drive business insights and decision-making.
- Collaborating with cross-functional teams to develop machine learning algorithms for predictive analytics.
- Title: "A Novel Approach to Sentiment Analysis Using Deep Learning Techniques"
  Authors: John Doe, Jane Smith
  Publication Venue: International Conference on Artificial Intelligence (ICAI) 2021

- Title: "Predictive Modeling of Stock Prices Using Machine Learning Algorithms"
  Authors: John Doe, Sarah Johnson
  Publication Venue: Journal of Data Science and Analytics, Volume 5, Issue 2, 2021

- Title: "An Ensemble Learning Framework for Credit Risk Assessment in Banking Sector"
  Authors: John Doe, Michael Brown
  Publication Venue: IEEE Transactions on Big Data, Volume 3, Issue 4, 2021

- Title: "Exploring the Impact of Feature Engineering on Text Classification Performance"
  Authors: John Doe, Emily White
  Publication Venue: European Conference on Machine Learning (ECML) 2021

- Title: "Time Series Forecasting with Recurrent Neural Networks: A Comparative Study"
  Authors: John Doe, David Lee
  Publication Venue: ACM Transactions on Intelligent Systems and Technology, Volume 8, Issue 3, 2021
- Master of Science in Data Science, Politecnico di Milano, 2021
- Bachelor of Science in Computer Science, Università degli Studi di Roma "La Sapienza", 2018
- High School Diploma with a focus on Mathematics and Computer Science, Liceo Scientifico Galileo Galilei, 2015
- Mail: amelia.andrade@mandarinoriental.com
- Address: The Mandarin Oriental, 5 Connaught Road Central, Hong Kong
- Phone: +852 1234 5678
- Name: Amelia Andrade
- LinkedIn: linkedin.com/in/ameliaandrade

Data Scientist, 2021 - Present at TechCorp
- Conducting data analysis and modeling to drive business insights and decision-making.
- Collaborating with cross-functional teams to develop machine learning algorithms for predictive analytics.



- Title: "A Novel Approach to Sentiment Analysis Using Deep Learning Techniques"
  Authors: John Doe, Jane Smith
  Publication Venue: International Conference on Artificial Intelligence (ICAI) 2021

- Title: "Predictive Modeling of Stock Prices Using Machine Learning Algorithms"
  Authors: John Doe, Sarah Johnson
  Publication Venue: Journal of Data Science and Analytics, Volume 5, Issue 2, 2021

- Title: "An Ensemble Learning Framework for Credit Risk Assessment in Banking Sector"
  Authors: John Doe, Michael Brown
  Publication Venue: IEEE Transactions on Big Data, Volume 3, Issue 4, 2021

- Title: "Exploring the Impact of Feature Engineering on Text Classification Performance"
  Authors: John Doe, Emily White
  Publication Venue: European Conference on Machine Learning (ECML) 2021

- Title: "Time Series Forecasting with Recurrent Neural Networks: A Comparative Study"
  Authors: John Doe, David Lee
  Publication Venue: ACM Transactions on Intelligent Systems and Technology, Volume 8, Issue 3, 2021

- Master of Science in Data Science, Politecnico di Milano, 2021
- Bachelor of Science in Computer Science, Università degli Studi di Roma "La Sapienza", 2018
- High School Diploma with a focus on Mathematics and Computer Science, Liceo Scientifico Galileo Galilei, 2015

