Summary
Overview
Work History
Education
Skills
Timeline
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Eric Sanchez

Houston

Summary

Data Scientist specializing in machine learning solutions, propensity models, experimentation, and optimization frameworks within marketing. Expertise in Python, SQL, digital analytics, and data pipelines. Translates complex data into actionable strategies, enhancing operational efficiency and delivering impactful analytics solutions for stakeholders.

Overview

9
9
years of professional experience

Work History

Senior Data Scientist

USAA Insurance
07.2026 - Current

Senior Decision Science Analyst

USAA Insurance
11.2024 - 06.2026
  • Led full-funnel marketing analytics across paid and owned channels, delivering performance insights that informed executive decision-making and marketing investment strategy.
  • Developed marketing spend curve models and custom optimization algorithms in Python to forecast channel performance and improve budget allocation.
  • Designed and maintained automated data pipelines that ensured reliable weekly delivery of critical marketing datasets for reporting and analysis.
  • Built end-to-end digital marketing funnels using Adobe Analytics clickstream data to identify conversion opportunities and customer drop-off points.
  • Executed incrementality testing and advanced statistical analyses to measure marketing effectiveness and optimize ROI.
  • Delivered ad hoc analyses that translated complex data into actionable business recommendations.

Data Scientist

USAA Federal Savings Bank
03.2023 - 10.2024
  • Developed machine learning uplift models for targeted outbound marketing campaigns, improving customer targeting using response modeling techniques.
  • Piloted Amazon SageMaker adoption by creating comprehensive technical documentation and collaborating with MLOps teams to validate ML-as-a-Service capabilities.
  • Built NLP pipelines using sentence-transformer embeddings to detect duplicate free-text records, improving data quality and operational efficiency.
  • Applied Cox Proportional Hazards regression to model customer churn associated with real estate loans, informing member retention strategies.
  • Partnered with data engineering teams to improve MLOps workflows, accelerating model deployment and collaboration between engineering and data science.
  • Mentored junior analysts and led implementation efforts across multiple modeling initiatives, promoting technical development and project success

Decision Science Analyst l

USAA Federal Savings Bank
08.2022 - 02.2023
  • Developed predictive machine learning models supporting real estate marketing campaigns and customer acquisition initiatives.
  • Automated call review workflows using Apache Airflow, GitLab, and Python to process and stage call transcript data for business stakeholders.
  • Earned second place in a company-wide innovation hackathon by developing OCR-based fraud detection techniques for mobile check deposits.

Decision Science Analyst ll

USAA Federal Savings Bank
08.2021 - 07.2022
  • Developed automated Python data pipelines that populated downstream business systems with structured XML data, reducing manual processing and accelerating application workflows.
  • Built proof-of-concept document intelligence solutions using PDFPlumber and Tesseract OCR to extract structured information from mortgage documents.
  • Automated ingestion of PDF and image-based documents into analytical datasets, improving data accessibility for downstream processes.
  • Delivered high-impact analytical projects and executive presentations supporting strategic banking initiatives.

Associate Risk Officer

BBVA
Houston
03.2020 - 08.2021
  • Monitored market risk exposures for derivative portfolios, analyzing interest rate and volatility sensitivities at both the trade and portfolio levels.
  • Performed Value at Risk (VaR) and Stressed Value at Risk (SVaR) analyses to assess portfolio risk and support daily risk management activities.
  • Developed and automated risk reports, calculators, and reporting tools using VBA, improving reporting efficiency and reducing manual effort.
  • Verified trade bookings and cash flows across front-office trading and risk management systems to ensure data integrity and regulatory compliance.
  • Queried and managed market risk data using SQL Server to support risk analysis, reporting, and reconciliation processes.
  • Partnered with trading, risk, and operations teams to investigate discrepancies and maintain accurate risk metrics.

Senior Risk Specialist

BBVA
Houston
01.2018 - 03.2020

Education

B.S. - Mathematics

University of Houston

M.S. - Statistics

University of Houston ClearLake

Skills

  • Predictive Modeling
  • Supervised Learning
  • Unsupervised Learning
  • Classification Models
  • Regression Models
  • Uplift Modeling
  • Incrementality Testing
  • Causal Inference
  • Marketing Analytics
  • Marketing mix modeling
  • Multi-Touch Attribution
  • Campaign Optimization
  • Experimental Design
  • Budget Allocation Models
  • Funnel marketing analytics
  • Model Development
  • Model Validation
  • Model Evaluation
  • Feature Engineering
  • Hyperparameter Tuning
  • Forecasting
  • Clustering
  • Python
  • SQL
  • Statistical Programming
  • Data Pipelines
  • Snowflake
  • Adobe Analytics
  • Clickstream Analytics
  • Git

Timeline

Senior Data Scientist

USAA Insurance
07.2026 - Current

Senior Decision Science Analyst

USAA Insurance
11.2024 - 06.2026

Data Scientist

USAA Federal Savings Bank
03.2023 - 10.2024

Decision Science Analyst l

USAA Federal Savings Bank
08.2022 - 02.2023

Decision Science Analyst ll

USAA Federal Savings Bank
08.2021 - 07.2022

Associate Risk Officer

BBVA
03.2020 - 08.2021

Senior Risk Specialist

BBVA
01.2018 - 03.2020

B.S. - Mathematics

University of Houston

M.S. - Statistics

University of Houston ClearLake
Eric Sanchez