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For the Inventor, By the Inventor

McLean, VA, United States of America

Vannia Gonzalez Macias

USPTO Granted Patents = 14 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • McLean, VA (US) (2023 - 2024)
  • Glen Allen, VA (US) (2024)

Company Filing History:

goldMedal14 out of 6,132 
 
Capital One Services, LLC
 patents

Years Active: 2023-2025

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14 patents (USPTO):Explore Patents
1. 12476991 - Anomaly detection in computing system events (2025-11-18),
2. 12411860 - Generating synthetic time series datasets having anomalies (2025-09-09),
3. 12380122 - Generating synthetic time series datasets having change points (2025-08-05),
4. 12189589 - Anomaly detection in a split timeseries dataset (2025-01-07),
5. 12174694 - Detecting system events based on user sentiment in social media messages (2024-12-24),
6. 12118084 - Automatic selection of data for target monitoring (2024-10-15),
7. 12079375 - Automatic segmentation using hierarchical timeseries analysis (2024-09-03),
8. 12032538 - Anomaly detection in a split timeseries dataset (2024-07-09),
9. 11977536 - Anomaly detection data workflow for time series data (2024-05-07),
10. 11914462 - Detecting system events based on user sentiment in social media messages (2024-02-27),
11. 11856014 - Anomaly detection in computing computing system events (2023-12-26),
12. 11789915 - Automatic model selection for a time series (2023-10-17),
13. 11640387 - Anomaly detection data workflow for time series data (2023-05-02),
14. 11579958 - Detecting system events based on user sentiment in social media messages (2023-02-14),

Title: Vannia Gonzalez Macias: Innovator in Synthetic Data Generation

Introduction

Vannia Gonzalez Macias is a prominent inventor based in McLean, VA (US). She has made significant contributions to the field of synthetic data generation, holding a total of 13 patents. Her innovative work focuses on creating synthetic time series datasets that can be utilized in various applications, particularly in data analysis and anomaly detection.

Latest Patents

Among her latest patents, Vannia has developed methods and systems for generating synthetic time series datasets with anomalies. This patent describes a system that can generate data points for components of a synthetic dataset, including seasonality, trend, and noise functions. The system is capable of determining minimum and maximum changes relative to the variance of the noise data points, allowing for the generation of anomalies by replacing values of noise data points with values within specified limits.

Another notable patent involves generating synthetic time series datasets that include change points. This system modifies the trend function to create a different trend by adjusting its level or slope. It generates a change point by replacing a subset of consecutive data points with those generated using the modified trend function, thus creating a synthetic dataset that reflects these changes.

Career Highlights

Vannia currently works at Capital One Services, LLC, where she applies her expertise in data generation and analysis. Her innovative approaches have positioned her as a leader in her field, contributing to advancements in how synthetic datasets are created and utilized.

Collaborations

Vannia collaborates with talented individuals such as Scott Garcia and Peter Terrana, enhancing her work through teamwork and shared expertise.

Conclusion

Vannia Gonzalez Macias is a trailblazer in the realm of synthetic data generation, with a strong portfolio of patents that reflect her innovative spirit. Her contributions are shaping the future of data analysis and anomaly detection, making her a significant figure in her field.

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