Annie Maria R. Email & Phone Number

Baltimore, Maryland, United States

Bethesda, Maryland, United States

Monitored and Reported on Logs, Failures & Errors within Data Science Servers and AppsPerformed bug investigations & documented and developed solutions for bug hunting reportingBuilt Developmental AWS Glue Pipeline using Blueprints, Workflows, and PySpark for delivery to AWS Glue Data Catalog to Athena to host data ingested by Tableau Reporting Workbooks.

Greater Pittsburgh Area

- Manage insights/trends of our digital marketing to optimize spend and streamline reporting- Analyze/support marketing optimization testing such as landing page/ad copy/creative testing- Support Sr. Analyst in customizing the attribution models for our client- Engage directly with client to understand marketing objectives to alter program execution.

Greater Pittsburgh Area

Held office hours to assist students with labs, homework, and programmingGraded labs, homework, and examsTaught the core ideas of programming in R & SQL to assist in statistical analysis

Greater New York City Area

Responsible for analyzing customer behavior within the Salon Centric Division using Microsoft's SQL Server Management Studio, PowerBI to determine historical trends, patterns and insights.Analyzed and processed complex data sets using SQL Server, PowerBI, Excel, and RStudioDeveloped analytical model quantifying brand associations and customer behavior

Greater Pittsburgh Area

Debugged Python, Ruby, & SQLite scripts to fix a statistic analytics frontendDeveloped and tested static analytics skills to explore new capabilities for the software

San Francisco Bay Area

• Developed on the GE Predix Architecture with the Digital Twin Platform Initiative (Industrial IoT)
• Integrateed traditional asset data with real time data pipelines,analytics,and machine learning in a Digital Cloud/Edge context to help our Business partners make timely, predictive decisions
• Performed as a UI Developer on a team's scrum (20+ engineers/architects)
• GE Digital Hackathon 2017 (San Ramon) -- Team PairIt

Greater Pittsburgh Area

• Used statistical data analysis and machine learning algorithms like SVM and Random Forest to analyzeastronomical datasets to predict galactic features
• Presented an original scientific poster at Carnegie Mellon’s May 2017 Meeting of the Minds
• Applied Machine Learning Methods such as Multiple Linear Regression, Regression Trees, Random Forest, Support Vector Machines and more to galaxy data from the COSMOS sky field survey to determine the best predictive.
• Applied Machine Learning Methods such as Multiple Linear Regression, Regression Trees, Random Forest, Support Vector Machines and more to galaxy data from the COSMOS sky field survey to determine the best predictive.

Greater New York City Area

• Refined website for fabrication studio which enhanced user experience and increased internet traffic
• Researched ways to integrate art and machine learning to provide artistic inspiration
• Developed 3D Art using Blender that integrated with traditional artistic methods in installations