About
I am a data analyst looking for an opportunity in a data science role. I have strong programming foundations and experience working with large datasets that drive decision-making. I have built machine learning models, designed forecasting workflows, and created data products that help teams make better high-level decisions.
Links
Education
Boston University — M.S. Data Science
Expected Spring 2027
University of Nevada, Las Vegas — B.S.B.A Finance
Completed Dec 2022
My Previous Roles
Credit Risk Analyst — Company
Jun 2021 - Jun 2025 · Turning uncertainty into clear decisions
- I partnered with strategy leaders to run A/B testing on response and risk models, helping improve quarterly product performance by about 5%.
- I built a multi-channel application forecast used in risk-criteria planning, connecting SAS + SQL regression outputs to Python workflows deployed in GCP for rolling 90-day views.
- I kept model quality tight with approximately ±0.05% forecast error while monitoring monthly loss exposure across 20+ consumer segments.
- I translated analysis into executive-ready dashboards and one-off deep dives so leadership could move faster with evidence, not guesswork.
- I helped lower default and delinquency risk for 150k+ monthly applicants through SQL, Python, and SAS model improvements that lifted portfolio quality by 1-3%.
- I also built a RAG-powered internal search tool so analysts could quickly find function logic and program documentation.
Banker — Create Credit Union
May 2019 - Apr 2021 · Building trust through day-to-day member support
- I supported members across payments, deposits, withdrawals, and account needs, with a focus on accuracy, service, and long-term relationship quality.
Spring Analyst — Union Gaming Securites
Jan 2019 - May 2019 · Early foundation in research and modeling discipline
- I supported a New Mexico consortium market report by collecting and structuring casino data across 20+ states.
- I assisted senior analysts with DCF maintenance and state-by-state gaming regulation research, strengthening my attention to detail in high-stakes analysis.
Projects
Stock Market Paper Live Trading Bot
Forecasting / Algorithmic Trading · Personal Project
- Built a live trading decision engine with Python async workflows to automate intraday execution.
- Ran A/B tests across volatility, Sortino, Sharpe, win rate, max drawdown, and alpha metrics.
Short Term Rental Market Research
Data Analysis / Programming / Business Planning
- Used K-Means clustering to estimate price elasticity and optimize STR pricing with the goal of accelerating mortgage payoff through excess cash flow.