Data Science Machine Learning

Natalie Feng

Nataliefeng.com/blog

Washington, D.C. 510-***-**** *********@*****.*** linkedin.com/in/natalie-feng-1865682b/

DIRECTOR, DATA & AI

Results-driven Data & AI Leader with over 10 years of experience driving business transformation through strategic data initiatives and machine learning (ML) products.

Proven track record of developing and executing enterprise-level AI/ML strategies, optimizing model performance, and integrating data-driven solutions to enhance decision-making.

Dedicated to building high-performing teams and fostering cross-functional collaboration, leveraging data science to scale operations, manage risks, improve efficiency, and deliver actionable insights to senior leadership.

CORE COMPETENCIES

Data Strategy & AI Product

Data Science Model Lifecycle Responsible AI Governance Credit Risk Management Data-Driven Decision Making

AI/ML Engineering & Development

Generative AI Large Language Models (LLM) NLP Statistical Modeling Predictive Analytics Causal Inference

Cloud & Big Data Infrastructure

Scalable System Architecture Cloud Computing (AWS, Azure) Big Data Processing (Apache Spark, Hadoop)

Enterprise Data Governance & Risk Control

Data Quality Frameworks Compliance & Risk Management Vendor Negotiation Data Standardization

Technology & Tools

Python R SQL Tableau Power BI Git Salesforce SAP Oracle

Business Impact

Cross-Functional Collaboration AI/ML-Driven Product Strategy C-Suite Engagement Enterprise Change Management

CAREER EXPERIENCE

Capital One - Washington, D.C. 2024 – Present

Senior Manager, Data Science and Advanced Analytics

Lead data science initiatives to enhance credit risk modeling, predictive analytics, and decision intelligence across Capital One’s card division. Drive AI-powered solutions, advanced statistical modeling, and scalable ML frameworks to optimize credit risk strategies and business performance.

Developed and deployed machine learning models to enhance credit risk assessment, optimizing underwriting strategies and improving model accuracy.

Led the design and implementation of AI-driven predictive analytics solutions, driving more effective decision-making in commercial credit risk.

Spearheaded advanced model monitoring frameworks, ensuring robust performance tracking, explainability, and compliance with regulatory standards.

Enhanced alternative data usage in credit modeling, leveraging external datasets such as SBFE and Equifax to improve predictive power and risk segmentation.

Optimized cloud-based ML pipelines and MLOps workflows, reducing model training time and improving scalability across credit decisioning systems.

Applied A/B testing and causal inference techniques to evaluate the impact of credit risk strategies, ensuring data-driven enhancements to underwriting policies.

Partnered with cross-functional teams to integrate real-time analytics and automated decisioning, enhancing risk management across Capital One’s business cards portfolio.

Accenture - Washington, D.C. 2021 – 2024

Data Science Lead

Took on a lead role to supervise teams of data scientists and analysts, managing the development of neural networks for credit risk assessment and loan-to-value ratio predictions, including hyperparameter tuning and cross-validation for model optimization. Delivered insights to senior leadership via clear and compelling presentations.

Directed data management initiatives, leading teams to design ML models, ensure compliance with data privacy standards, and communicate complex insights to drive data-informed decision-making.

Optimized credit risk models for a major financial services client, leveraging ML tools and techniques to bolster the accuracy of loan-to-value ratio predictions, including regression, random forests, Bayesian methods, clustering, boosting, natural language processing (NLP), and neural networks.

Improved insights for a global financial client by conducting causal analysis using A/B testing and econometric techniques like ANOVA, difference-in-differences, and regression.

Captured 20% growth in marketing ROI by strengthening data pipelines to ensure GDPR compliance and provide actionable insights.

Collaborated with domain experts and stakeholders to align model objectives with business needs, conducted extensive cross-validation, and achieved a 15% increase in model accuracy.

Decreased loan default rates by 10% and drove an 8% improvement in risk-adjusted return on equity.

Omnicell, Inc. - Pittsburgh, PA 2018 – 2021

Data Scientist

Engaged to support data science operations, leveraging advanced analytics, statistical, and ML techniques to extract customer insights, strategize marketing plans, and support branding initiatives, collaborating with cross-functional teams to inform and drive business decisions.

Developed predictive models for CLV (customer lifetime value) modeling, segmentation, propensity to purchase, and churn analysis to optimize marketing strategies and enable decision-making for product campaigns.

Designed NLP models to analyze customer sentiments from social media, surveys, and online reviews, providing valuable insights to deliver targeted brand strategies.

Conducted causal analyses with marketing mix modeling, designing experimental frameworks to measure the impact of marketing initiatives and campaigns while evaluating marketing channels and tactics.

Carnegie Mellon University - Pittsburgh, PA 2015 – 2018

Analytics Manager

Hired to lead strategic initiatives to resolve data architecture challenges, guiding the team in implementing advanced techniques to maximize data quality. Coached team members on utilizing statistical learning methodologies and supporting decision-making processes for improved user outcomes.

Guided the analytics team in applying advanced methods and techniques to tackle data architecture challenges, including data extraction, transformation, movement, storage, integration, and governance.

Mentored team members in deploying statistical learning algorithms to enhance the user experience with more accurate parking and routing features.

EDUCATION & PROFESSIONAL DEVELOPMENT

Master of Science in Industrial Engineering & Operations Research

University of California, Berkeley

Bachelor of Science in Operations Management

Beijing Jiaotong University

Tableau Desktop Specialist – Certificate ID 1016915

AWS Cloud Practitioner – Certificate ID EX6JCJNKYNQ4QMG9

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