I enjoy mountain biking on weekends to stay active and explore nature. In addition, I have a passion for painting landscapes in my free time as a creative outlet that is completely unrelated to my work as a Data Scientist.
- Mail: grace.anderson@marinabaysands.com
- Address: Marina Bay Sands, 10 Bayfront Avenue, Singapore
- Phone: +65 9876 5432
- Name: Grace Anderson
- LinkedIn: linkedin.com/in/graceanderson_mbssg
1. As a Data Scientist at TechInsight, I led the development of predictive models to optimize customer segmentation strategies from 2010 to 2013.
2. At Analytix Solutions, I spearheaded the implementation of machine learning algorithms for fraud detection in financial transactions between 2014 and 2017.
3. Serving as the Lead Data Scientist at InnovateData, I designed and deployed natural language processing solutions for sentiment analysis from 2018 to 2021.
4. During my tenure at InfoAnalytics, I collaborated with cross-functional teams to create interactive dashboards for real-time data visualization between 2022 and 2025.
Experienced in leveraging advanced statistical techniques and machine learning algorithms to extract insights from complex datasets. Proficient in data visualization tools such as Tableau and Power BI to communicate findings effectively to stakeholders.
- Publication Title: "Predictive Modeling of Customer Churn in Telecommunication Industry"
  Journal: International Journal of Data Science and Analytics
  Year: 2008

- Publication Title: "Sentiment Analysis of Social Media Data Using Machine Learning Techniques"
  Conference: IEEE International Conference on Data Mining
  Year: 2010

- Publication Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Journal: ACM Transactions on Knowledge Discovery from Data
  Year: 2012

- Publication Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2014

- Publication Title: "A Survey of Feature Selection Methods for High-Dimensional Data"
  Journal: Journal of Machine Learning Research
  Year: 2016

- Publication Title: "Explainable AI: Interpretable Models for Decision Support Systems"
  Conference: AAAI Conference on Artificial Intelligence
  Year: 2018
I enjoy mountain biking on weekends to stay active and explore nature. In addition, I have a passion for painting landscapes in my free time as a creative outlet that is completely unrelated to my work as a Data Scientist.

1. As a Data Scientist at TechInsight, I led the development of predictive models to optimize customer segmentation strategies from 2010 to 2013.
2. At Analytix Solutions, I spearheaded the implementation of machine learning algorithms for fraud detection in financial transactions between 2014 and 2017.
3. Serving as the Lead Data Scientist at InnovateData, I designed and deployed natural language processing solutions for sentiment analysis from 2018 to 2021.
4. During my tenure at InfoAnalytics, I collaborated with cross-functional teams to create interactive dashboards for real-time data visualization between 2022 and 2025.

Experienced in leveraging advanced statistical techniques and machine learning algorithms to extract insights from complex datasets. Proficient in data visualization tools such as Tableau and Power BI to communicate findings effectively to stakeholders.

- Mail: grace.anderson@marinabaysands.com
- Address: Marina Bay Sands, 10 Bayfront Avenue, Singapore
- Phone: +65 9876 5432
- Name: Grace Anderson
- LinkedIn: linkedin.com/in/graceanderson_mbssg

- Publication Title: "Predictive Modeling of Customer Churn in Telecommunication Industry"
  Journal: International Journal of Data Science and Analytics
  Year: 2008

- Publication Title: "Sentiment Analysis of Social Media Data Using Machine Learning Techniques"
  Conference: IEEE International Conference on Data Mining
  Year: 2010

- Publication Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Journal: ACM Transactions on Knowledge Discovery from Data
  Year: 2012

- Publication Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2014

- Publication Title: "A Survey of Feature Selection Methods for High-Dimensional Data"
  Journal: Journal of Machine Learning Research
  Year: 2016

- Publication Title: "Explainable AI: Interpretable Models for Decision Support Systems"
  Conference: AAAI Conference on Artificial Intelligence
  Year: 2018