Functional Skills
Market Research
Forecasting / Projections
Digital Marketing / Advertising
Statistical Analysis
Growth Strategy
Marketing Strategy
Growth Marketing
Machine Learning
Predictive Analytics
Data Mining
Software Skills
Google Analytics
R
SAS
SPSS
SQL
Certifications
EAEnrolled Agent
Sector Experience
Business Services
Financial Services
Healthcare
Retail
Social & Public Sector
Languages
Spanish
Tagalog
Fortune 500
Experience
Travers Marketing
Data Science / Analytics
Consultant
10/2020 - Present
INDEPENDENT CONSULTANT, NYC, OCTOBER 2020 - PRESENT
● MEDIAWIRE / BRAND.CO
○ Growth audits to maximize marketing spend, optimize CRM & minimize CPA
○ Segmentation, Targeting & Measurement
○ E-commerce, DTC, Marketing Mix
● THEDBMETHOD.COM, NYC, Head of Data Science,
○ Leading all advanced analytics and forecasting for growth—forged a pathway to grow sales up to 3X higher with same ROAS + Increase Prices
● MEDIAWIRE / BRAND.CO
○ Growth audits to maximize marketing spend, optimize CRM & minimize CPA
○ Segmentation, Targeting & Measurement
○ E-commerce, DTC, Marketing Mix
● THEDBMETHOD.COM, NYC, Head of Data Science,
○ Leading all advanced analytics and forecasting for growth—forged a pathway to grow sales up to 3X higher with same ROAS + Increase Prices
MetLife
Data Science / Analytics
Director
5/2013 - 8/2020
Head Performance Marketing MetLife Latin America Consumer Direct start-up: managing $2 million ad
budget for Insurance E-Commerce: Reduced Cost Per Lead 10X, CAC 25X
● Optimized > 3X acquisition, retention and revenue in US and LATAM call centers
● Globally Led Data Science, Business Intelligence, Digital Analytics and Digital Marketing resources in US, India, Brazil and Argentina
● Directly managed Digital Media in Facebook & Google, Criteo
budget for Insurance E-Commerce: Reduced Cost Per Lead 10X, CAC 25X
● Optimized > 3X acquisition, retention and revenue in US and LATAM call centers
● Globally Led Data Science, Business Intelligence, Digital Analytics and Digital Marketing resources in US, India, Brazil and Argentina
● Directly managed Digital Media in Facebook & Google, Criteo
Horizon BCBS of NJ
Data Science / Analytics
Manager
5/2012 - 5/2013
Horizon Blue Cross-Blue Shield, NEWARK NJ, Manager, Consumer Segmentation, 2012 – 2013
Developed models that accurately estimated health risk: at least $400 million difference in health claims for members with highest risk and lowest risk
Developed customized healthcare market segmentation for 8.7 million NJ residents for member acquisition and retention: Up to 40% greater marketing efficiency
Developed models that accurately predicted lack of insurance.
Models helped Horizon launch OBAMACARE marketing to the hardest to reach segment, the healthy uninsured.
Developed models that accurately estimated health risk: at least $400 million difference in health claims for members with highest risk and lowest risk
Developed customized healthcare market segmentation for 8.7 million NJ residents for member acquisition and retention: Up to 40% greater marketing efficiency
Developed models that accurately predicted lack of insurance.
Models helped Horizon launch OBAMACARE marketing to the hardest to reach segment, the healthy uninsured.
Bloomin Brands
Data Science / Analytics
Director
2/2011 - 5/2012
OSI Restaurant Partners, TAMPA FL, Director, Analytics & Modeling, 2011 – 2012
Developed customized retail market segmentation for a national restaurant chain: Using loyalty data and purchase history achieved 4 to 1 increased ROI on a database of 4 million customers
Evaluated and implemented CLARABRIDGE text analytics for VOC analysis and restaurant service improvements.
Developed customized retail market segmentation for a national restaurant chain: Using loyalty data and purchase history achieved 4 to 1 increased ROI on a database of 4 million customers
Evaluated and implemented CLARABRIDGE text analytics for VOC analysis and restaurant service improvements.
USAA
Data Science / Analytics
Manager
5/2007 - 2/2011
USAA, SAN ANTONIO TX, Lead Marketing Analyst, Corporate Marketing, 2007 - 2011
USAA’s market was changing from military to legacies--relatives of members, they needed a way to target their military themed marketing using different channels
Market segmentation: Segmented 36 million active and prospective members and their relationship to $14 billion in corporate revenue
Developed & guided the creation of 3 member segmentation systems encompassing total member value, member needs, and demographic characteristics
Developed marketing mix models that quantified and prioritized total US managed marketing spend--over $90 million--for one of the largest consumer financial services corporations
USAA’s market was changing from military to legacies--relatives of members, they needed a way to target their military themed marketing using different channels
Market segmentation: Segmented 36 million active and prospective members and their relationship to $14 billion in corporate revenue
Developed & guided the creation of 3 member segmentation systems encompassing total member value, member needs, and demographic characteristics
Developed marketing mix models that quantified and prioritized total US managed marketing spend--over $90 million--for one of the largest consumer financial services corporations
Internal Revenue Service
Data Science / Analytics
Director (Acting)
1/1999 - 5/2007
IRS Criminal Investigation, Office of Research, Washington DC, Acting Director, 1999 – 2007
IRS as an agency needed to get smarter about how they use their limited resources; IRS needed to stop fraudulent filings from paying erroneous refunds
Developed Fraud Detection Models that stop over $750 million in false claims against the government.
Developed statistical models that identified which high asset corporations (over $3 billion in government revenue at risk) and partnerships (over $2 billion in unreported income at risk) had the greatest probability of filing incorrect financial statements.
IRS needed to determine how many agents to hire and where to place them
Developed statistical models that predict future federal criminal investigation workload and where fraudulent activity would be most prevalent.
Economic impact studies: I led the measurement of the compliance implications of tax policies and continues to justify congressional funding for IRS law enforcement in 2022
IRS as an agency needed to get smarter about how they use their limited resources; IRS needed to stop fraudulent filings from paying erroneous refunds
Developed Fraud Detection Models that stop over $750 million in false claims against the government.
Developed statistical models that identified which high asset corporations (over $3 billion in government revenue at risk) and partnerships (over $2 billion in unreported income at risk) had the greatest probability of filing incorrect financial statements.
IRS needed to determine how many agents to hire and where to place them
Developed statistical models that predict future federal criminal investigation workload and where fraudulent activity would be most prevalent.
Economic impact studies: I led the measurement of the compliance implications of tax policies and continues to justify congressional funding for IRS law enforcement in 2022