Data Scientist Resume

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:

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