Glendale, CA 91201 (open to remote and hybrid)
+1 (504) 236-5069 | [email protected] | LinkedIn | GitHub

Data-driven Analytics Manager with over 10 years of experience specializing in machine learning solutions and leading technical teams in the retail banking domain. Proficient in Python, SQL, and AWS with a proven track record of leveraging data to drive strategic decision-making. Actively seeking a challenging role to utilize my analytical skills and leadership experience.

• Programming Languages: Python, SQL, JavaScript
• Databases: Microsoft SQL Server, AWS Athena, Postgres
• Data Science Tools & Frameworks: scikit-learn, matplotlib, Plotly, Flask, React
• Cloud & DevOps: AWS Glue, SageMaker, S3
• Other Technical Skills: Power BI, Git, VS Code, Anaconda, Jupyter
• Soft Skills: Agile Project Management, Business Analysis
  
  

SkyOne Federal Credit Union
Hawthorne, CA
August 2021 – Present
(SQL, Python, scikit-learn, SQLAlchemy, matplotlib, Jupyter Notebooks, Microsoft Visual Studio Code, Power BI, AWS S3, Athena, Glue, and SageMaker)

• Developed machine learning solutions using AWS SageMaker to tackle rising default rates in post-COVID economic climate, leading to 12% decrease in bad debt write-offs.
• Led 2 internship cohorts in enhancing analytics capabilities using Python, SQL, and Power BI within an Agile Scrum framework, resulting in 50% decrease in time-to-delivery.
• Conducted regression analyses using Python and SQL to respond to economic pressures, informing strategic decisions that contributed to a 21% increase in funds on deposit.
• Developed roadmaps for implementing data analysis and machine learning development processes, conducted stakeholder interviews leading to increased project acceptance rate.
• Completed vendor assessments reducing costs by 80%, and communicated cloud-based system architecture plans enhancing data equity, availability, and accuracy.
• Applied BIRCH hierarchical clustering using Python and scikit-learn for product development and optimizing customer conversion channels, resulting in 10% increase in approval rates.
• Developed and deployed logistic regression models using Python for marketing campaigns to reduce contact fatigue which increased response rates from <1% to 10%.
  
  

SkyOne Federal Credit Union
Hawthorne, CA
April 2018 – August 2021
(Microsoft SQL Server, Express, AngularJS, Node.js, and Plotly)

• Implemented and configured a data warehouse solution improving historic data availability and reporting accuracy, enabling quicker financial statement production and paving way for future data science initiatives.
• Designed metadata models adhering to CCPA regulations, enhancing data privacy and security for 60,000 customers.
• Developed data visualization dashboards using QuickTap Survey's REST API and JavaScript, presenting key financial metrics that guided strategic decisions, contributing to a growth in assets to $1 billion and an increase to 60k customers.
  
  

RiverLand Federal Credit Union
New Orleans, LA
March 2012 – July 2017
(Microsoft SQL Server, Microsoft Report Builder, JavaScript, and Jack Henry & Associates PowerOn)

• Implemented an upgrade to RiverLand’s data infrastructure, enhancing analytics capabilities and overcoming data inconsistency issues, contributing to $43 million in asset growth over 5 years.
• Designed and implemented data pipelines using Jack Henry & Associates PowerOn for innovative overdraft limit management system, driving monthly fee revenue of $50,000.
• Engineered member ranking system using Jack Henry & Associates PowerOn to manage remote check deposit limits, resulting in a reduction in financial risk.
  
  

Data Science and Software Engineering Concentration
DePaul University
Chicago, IL
November 2020

Web Application Development Concentration
Tulane University
New Orleans, LA
December 2010
Cum Laude