Winfield X.

About Winfield X.

As a Director of Data Science with 12+ years\' experience, I transform complex data into actionable insights that drive business growth. With 6+ years leading high-performing teams in fintech and investment management, I specialize in building scalable ML solutions that deliver measurable impact.I lead cross-functional teams developing proprietary analytics and ML models that inform investment decisions and underwriting processes, delivering $1B+ in asset originations. My expertise spans predictive valuation models, time series forecasting, machine learning pricing algorithms, portfolio risk modeling, low-latency quantitative underwriting, customer acquisition scoring & propensity models, market segmentation analytics, and A/B testing frameworks that optimize customer growth and investment portfolio performance. I collaborate across technology, product, marketing and finance teams to align data strategy with business objectives and foster enterprise-wide AI adoption.Key differentiators: proven $1B+ business impact, full-stack leadership combining technical depth with strategic acumen, and end-to-end solution delivery from model development to production deployment across fintech and investment platforms.Let\'s connect if you\'re passionate about leveraging data science and AI to solve real-world business challenges and drive measurable results.

Experience

1. Director, Data Science

   Unison

   Jan 2022 — Present · San Francisco, CA, US

   Strategic Leadership & Budget Ownership: Led data strategy and budget, unifying analytics across Marketing, Product, Ops, and Investment teams; built advanced forecasting and analytics frameworks for $2B loan portfolio, guiding $30M+ budget allocation for product innovation and go-to-market strategies • Executive Decision Support: Presented quant-driven analyses on asset performance, macro trends, and return projections to C-suite, influencing $300M+ annual investments in home equity agreements, mortgages, and HELOCs • Revenue Growth Engine: Developed ML-powered valuation and decision engines for 150M+ properties, enabling real-time valuation and automated underwriting, driving 4× revenue growth across 30+ markets, sustaining 15% IRR, and halving default rates versus industry • Customer Intelligence & Cost Optimization: Launched predictive customer intelligence with K-means clustering, LLM analytics and ensemble models, cutting CAC by 70% and saving $20M annually in marketing • Product Strategy Leadership: Co-led launch of 3 financial products via cross-functional collaboration, using market intelligence modeling and A/B testing to increase user engagement by 6x • Portfolio Risk Management: Managed $2B portfolio with ML home price predictions (XGBoost, neural networks) and risk models (survival analysis, Monte Carlo), generating 100 bps alpha above benchmarks • Digital Transformation: Partnered with Engineering to scale data organization from zero to enterprise level via MLOps, CI/CD pipelines, and self-service analytics, reducing team workload 40% and enabling 100+ employees with data autonomy • Enterprise AI Adoption: Led enterprise AI initiatives with robust governance, powering automated portfolio forecasting, personalized experiences, AI-driven content, advanced knowledge discovery, fraud detection, and dynamic recommendations, improving efficiency and scalability across functions

Education

• University of Illinois Urbana-Champaign

  Bachelor of Science - BS, Electrical and Computer Engineering (Exchange)

• University of California, Berkeley, Haas School of Business

  Master of Financial Engineering, Quantitative Finance, Data Science, Machine Learning & AI

• Nanyang Technological University Singapore

  Bachelor of Engineering (Honors) - BE, Electrical and Electronic Engineering

Skills

• Project Management
• Access
• Alternative Investments
• Equity Research
• Data Analysis
• Machine Learning
• Microsoft Office
• Microsoft Excel
• Fixed Income
• Engineering
• Economics
• Excel
• Capital Markets
• Microsoft Access
• Gnu Octave
• Portfolio Management
• Perl
• Financial Reporting
• Vba
• Derivatives
• Financial Analysis
• Java
• Matlab
• Investments
• Statistical Data Analysis
• Cfa Candidate
• Corporate Finance
• Sas Jmp
• Qualitative & Quantitative Analysis
• Javascript
• C++
• R
• Python