Nathan Wilder Email & Phone Number

- Led the design of the test, including sample size and metric selection..Worked with engineering on execution. Provided pre, peri, andpost-experiment analyses before communicating recommendations withproduct managers. Saved $0.5M+ in annual rewards expenses withrecommendation to remove incentives- Constructed a synthetic control of members that did not receive anincentive. Used linear regression and quadratic programmingoptimization of Scipy to calculate the weights of the synthetic control.Communicated results to stakeholders and saved an estimated $0.35M inannualized marketing expenses- Collaborated with data scientists and risk managers to iteratively test and identify 100-150 features from complex data sources that could predict account risk. A group of 3-5 classification algorithms were trained and used for prediction- Working with two product managers, selected Recency, Frequency, and Monetary (RFM) engagement metrics. Created segments using Sklearn KMeans algorithm. Profiled segments using twenty additional risk and profitability metrics. Presented on segments and delivered strategy recommendations to a broad range of technical and nontechnical stakeholders- Extracted features from unstructured member comments data via NLTKand SpaCy. Analyzed different parts of speech to identify themes via named entity recognition analysis.Presented on findings to the team which influenced product strategies- Created a quarterly cards industry report using Experian credit bureau attributes (25B+ records) and Snowpark (Big Data) to surface macro-economic trends as they emerge- Used propensity score matching, synthetic control, and diff-in-diffs causal inference methods to evaulate several internal policies and inform the next stage in their evolution

- Improved landing page to application funnel conversion by 15%-20%working with the product team on AB tests- Helped engineering create the team’s data model in Snowflake usingSnowflake SQL, dbt, Gitlab CICD, and Airflow orchestration- Built 10+ critical dashboards in Tableau to help the business analyze partner performance or application entry point efficacy

Salt Lake City, Utah

Salt Lake City, Utah

Salt Lake City, Utah

NMLS# 1633005

Primary contact for the logistical scheduling of cotton out of the continental United States

Accountable forensuring the optimum operational and financial performance of thecommunity, including personnel, leasing, collections, residentservices, maintenance, revenue enhancing and other capitalimprovements, contracted services, administration and reporting,and safety and legal compliance. Works effectively with other teammembers and continues to improve and develop skills andknowledge.

Leasing agent to high end apartments and town homes

Perform transactions and resolve customer disputes.

Contact CPAP patients about the timely renewal of their CPAP supplies and work with insurance to refill CPAP prescriptions.

Master Of Science - Ms, Finance

Graduate Certificate, Business Analytics

Bachelors Degree, Finance, Cum Laude

cum laude

Associates Degree, General Studies

High School Diploma