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Robert Cordrey

@robertcordrey

Message

I build forecasting, predictive models, and automated analytics workflows for business decisions.

United States

Message

At Flagstar Bank, I build and maintain 40+ analytical and reporting workflows that eliminate over 160 staff-hours of manual work each week and support a commercial loan portfolio exceeding $500 million. I use R, SQL, Excel VBA, and Power BI to deliver forecasting, anomaly detection, risk identification, reconciliation, and decision-support tools used by more than 110 employees.

I've also developed forecasting, segmentation, predictive modeling, customer analytics, and reporting solutions through Blue Hen Analytics, Harvard Business Services, Blanchard Machinery, and Dominion Enterprises. Across financial services, retail, marketing, and operations, I turn ambiguous questions and complex data into reproducible workflows, clear findings, and practical recommendations.

Experience

Work history, roles, and key accomplishments

Current

Programmer Data Analytics

Current

Flagstar Bank

Apr 2023 - Present (3 years 4 months)

Build and maintain over 40 analytical and reporting workflows, eliminating over 160 staff-hours of manual effort weekly. Develop R, SQL, Excel VBA, and Power BI solutions for forecasting, trend analysis, and operational reporting.

SQL R Power BI VBA Forecasting Trend Analysis Anomaly Detection Operational Reporting Data Validation Audit Readiness Portfolio Monitoring Management Reporting Decision Support

Current

Independent Analytics Consultant

Current

Blue Hen Analytics

Jan 2019 - Present (7 years 7 months)

Develop R-based forecasting, segmentation, predictive modeling, and text analytics solutions for retail, marketing, customer, and operational applications. Build and compare models using cross-validation, ROC-AUC, F1, lift, gains, and feature importance.

R Forecasting Segmentation predictive modeling Text Analytics regression Classification Time Series Cross Validation ROC AUC Lifting GAINS Feature Importance

Data Analyst

Harvard Business Services

Nov 2018 - Sep 2022 (3 years 10 months)

Built predictive and statistical models in R for sales analysis, demand forecasting, marketing performance, and customer analytics. Developed customer scoring, segmentation, and attrition frameworks supporting targeting and retention decisions.

R predictive modeling Statistical Modeling Sales Analysis Demand Forecasting Marketing Performance Customer Analytics Customer Scoring Segmentation regression Clustering Power BI Tableau

Data Analyst

Blanchard Machinery

Apr 2017 - Oct 2018 (1 year 6 months)

Analyzed customer behavior, retention, equipment utilization, and operational performance using statistical, forecasting, and capacity-analysis methods.

Statistical Analysis Forecasting Customer Behavioral Analysis Retention operational performance