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.
Laura Marriott can be reached at laura.marriott@hotelbelair.com for any inquiries. She resides at 701 Stone Canyon Road, Los Angeles, USA. You can contact her at +1-555-123-4567 if you need to reach her by phone.
- Proficient in statistical analysis and data mining techniques, with a strong ability to derive actionable insights from complex datasets.
- Skilled in programming languages such as Python and R for data manipulation and visualization, as well as experience with machine learning algorithms for predictive modeling.
- Demonstrated expertise in designing and implementing data-driven solutions to solve business problems, with a proven track record of delivering impactful results through data analytics.
- Title: "Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Learning Techniques"
  Journal: International Journal of Data Science and Analytics
  Year: 2015

- Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Conference: IEEE International Conference on Big Data
  Year: 2016

- Title: "Sentiment Analysis of Social Media Data for Brand Perception Measurement"
  Journal: Journal of Information Technology Research
  Year: 2017

- Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2018

- Title: "Unsupervised Feature Selection for High-Dimensional Data Sets"
  Journal: Pattern Recognition Letters
  Year: 2019
Laura Marriott can be reached at laura.marriott@hotelbelair.com for any inquiries. She resides at 701 Stone Canyon Road, Los Angeles, USA. You can contact her at +1-555-123-4567 if you need to reach her by phone.
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.
- Proficient in statistical analysis and data mining techniques, with a strong ability to derive actionable insights from complex datasets.
- Skilled in programming languages such as Python and R for data manipulation and visualization, as well as experience with machine learning algorithms for predictive modeling.
- Demonstrated expertise in designing and implementing data-driven solutions to solve business problems, with a proven track record of delivering impactful results through data analytics.
- Title: "Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Learning Techniques"
  Journal: International Journal of Data Science and Analytics
  Year: 2015

- Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Conference: IEEE International Conference on Big Data
  Year: 2016

- Title: "Sentiment Analysis of Social Media Data for Brand Perception Measurement"
  Journal: Journal of Information Technology Research
  Year: 2017

- Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2018

- Title: "Unsupervised Feature Selection for High-Dimensional Data Sets"
  Journal: Pattern Recognition Letters
  Year: 2019