Experience

Core Digital Media

• United States
• Software Development
• 100 - 200 Employee

• Senior Manager, Data Science and Analytics

  • Jan 2023 - Present

• Data Science Manager

  • Feb 2021 - Feb 2023

  Los Angeles, California, United States Responsible for building AI solutions to positively impact Core Digital Media’s customer acquisition objectives while also guiding our business-critical decision processes and delivering the best possible financial products to our customers. Also responsible for building out the AI vision for the company and translating it into actionable roadmaps.



Q-Centrix

• United States
• Hospitals and Health Care
• 500 - 600 Employee

• Senior Data Scientist, Practice Lead

  • Jan 2019 - Feb 2021

  Greater San Diego Area



Teradata

• United States
• Software Development
• 700 & Above Employee

• Data Scientist

  • Jun 2016 - Dec 2018



Bank of America

• United States
• Banking
• 700 & Above Employee

• VP, Credit Reporting Analytics

  • Jun 2004 - May 2016

  Worked as the analytics manager for Credit Reporting and Identity Theft operations. Partner with business owners to build performance measurement systems including health scorecards. Build dashboards using Tableau and train teammates on Tableau. Build SQL schemas and write extensive T-SQL programs to support business intelligence projects.

• Data Scientist

  • Jun 2014 - Feb 2016

  Built a complaints classification model to enable proactive compliance with regulations. Built a risk classification model to enable competitor risk analytics. The now productionalized data model analyses 10K and 10Q SEC filings and highlights risks faced by Bank of America competitors. Credit Reporting Issues – Using SVD and Mutual Information like methods to cluster issues



Self Initiated Projects

• Data Scientist

  • Jan 2013 - Feb 2016

  Worked on a project that predicts user ratings for restaurants. Using open source Google and Yelp reviews data. Also integrating NOAA weather and public demographics for feature extraction. Performs data dimensionality reduction with linear transformation techniques like the Principle Component Analysis to build scalable algorithms. Generally works on data modeling projects including network analysis, graph reduction, regression and classification using a wide array of supervised and… Show more Worked on a project that predicts user ratings for restaurants. Using open source Google and Yelp reviews data. Also integrating NOAA weather and public demographics for feature extraction. Performs data dimensionality reduction with linear transformation techniques like the Principle Component Analysis to build scalable algorithms. Generally works on data modeling projects including network analysis, graph reduction, regression and classification using a wide array of supervised and unsupervised Machine Learning algorithms. Built a sales forecasting software. Improved accuracy via feature engineering and by analyzing various regression models. Show less