Stephen Williams Email & Phone Number

United States

United States

- Introduced time series cross-validation model development techniques and additional model types to improve client cash forecast accuracy on the order of millions of dollars. This enabled stakeholders to have more confidence in anticipatory decision-making derived from prescriptive analyses.- Incorporated additional assumption diagnostics and remedies in conjunction with filtering and cross-correlation functions to test for intertemporal relationships among general ledger accounting codes. This aided in the discovery of statistical relationships between financial variables and candidate covariates and accommodated client interest in hypothetical analysis.- Corresponded and collaborated with stakeholders and subject matter experts to build requirements for audit oversight procedures.- Led an analytics team to develop data pipelines in Databricks and automate report processes. This automation allowed the client to have oversight over reports for auditing purposes, identifying human error and discrepancies between accounting source system file data and service provider data.

- Migrated data ETL processes to Databricks for increased transparency, fidelity, and scalability- Built Tableau dashboards that inform and allow clients to make data driven decisions- Devised new scoring methodologies that enabled the measurement of computer network vulnerability exposure and the identification of stakeholder entities at risk- Trained an ensemble classifier that identified acceptable clauses in End-User License Agreements- Created R scripts that automated the generation of individualized reports from Excel files- Improved accuracy of client payroll forecasts with SARIMA models and gradient boosted decision tree ensembles

- Focus in statistics and empirical methodologies such as classical probability, ANOVA, and advanced econometric techniques- Provide training and support for statistical software such as STATA and R- Clarify academic literature and advanced mathematical concepts

5205 N O'Connor Blvd #200, Irving, Tx 75039

- Used well data to analyze relationships among measured variables to downtime- Preliminary inspection and preparation of the data was done in Excel and Spotfire- Regression models and associated diagnostics were run in R-Studio- Performed clustering analysis in Microsoft Azure- Graphics were generated in R-Studio, MATLAB, and Spotfire.

- Proctored and graded examinations, assignments, and research papers- Developed teaching materials such as visual aids, answer keys, and notes- Oversaw procedures for completing and submitting class work

Data Science Fellowship

Master Of Science - Ms, Statistics, 3.7

Master Of Arts - Ma, Economics, 4.0

Bachelor Of Science - Bs, Economics, 3.9