SUMMARY:

• With extensive experience in development and deployment of quantitative models to drive insights into customer behavior, pricing trends, and medical outcomes
• I build successful strategies that increase Revenue by $2 million annually.
• With a degree in Economics, and 5+ years work in Data Science, I bring a combination of Industry Experience, and technical know - how.
• Created model that linked Macroeconomic Trends to the Real Estate market. Tested modeling paradigms including Panel Modeling, Difference in Difference, Granger Causality, and Time Series to find a method that produced results that could drive business decisions.
• Performed Data Science to support Machine Learning Algorithm on training data set with 10+ million observations. Quantified outliers that would impair model performance, noting variations that could endanger the model validity.
• Explored alternative modeling methodologies before recommending an XG Boosted model.
• Led financial forecasting and enabled strategic planning for a cardiac and pulmonary practice with more than 10,000 patient visits per year in a Metropolitan Statistical Area (MSA) of 6.9 million by developing a predictive linear model of third-party payment (TPP) with an R squared of 88% (accurate within $1.17 per insurance claim) across 56 health plans.

SKILLS:

• Predictive Analytics
• Statistical Modeling
• Data Analysis
• Econometrics
• Alteryx
• Excel
• R
• SQL
• Python
• SAS
• MATLAB

EXPERIENCE:

Confidential

Data Scientist

Responsibilities:

• Created financial econometric model that saved client $200,000 annually by improving the accuracy of the model
• Quantified risk of default for consumer loans, demonstrating how to save 2% in returns on portfolios of loans over with $1.3 million under management annually
• Created Real Estate Time Series model that included Micro Economic trends, increasing Revenue by 0.5% on portfolios with $5 million under management annually

Confidential

Data Scientist

Responsibilities:

• Created iterative Time Series Model to process 1500+ forecasts, improving budget projections by 12%
• Utilized Time Series modeling to understand gaps in Customer Satisfaction scores, resulting in 2% improvement to scores over 6-month time period
• Improved time-in-clinic metrics by more than 37% in less than three (3) months by analyzing survey results and generating actionable insights for leadership decision making.

Confidential

Data Analyst

Responsibilities:

• Developed actionable insight that drove business strategies, optimizing the model for individual centers resulting in opportunity to save $2 million annually
• Utilized multi-linear regression to analyze passenger surveys resulting in new understanding of primary drivers of satisfaction.

Confidential

Business Analyst

Responsibilities:

• Developed strategy to improve savings for Confidential Corp in their travel spend, saving $1 mil annually
• Analyzed Upgrade program offered by Airline, and recommended course of action