DATA • OPERATIONS • AUTOMATION

Building data-driven systems that reduce operational friction and improve organizational efficiency.

Focused on workflow simplification, analytics, automation, and practical data solutions that help organizations operate faster, smarter, and more effectively.

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Analytics

Predictive modeling, forecasting, and operational insights

Workflow Optimization

Reducing manual work and improving operational efficiency

Automation

Building systems that simplify repetitive processes

Featured Projects

Selected projects focused on predictive analytics, operational efficiency, and workflow improvement.

Predictive Modeling of Social Demographics & Birth Outcomes

Applied OLS, Poisson, and multinomial logistic regression to analyze and predict birth outcomes and demographic patterns.

Tools: Python, Statsmodels, Regression Analysis

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Time Series Analysis & Model Refinement

Built linear and quadratic forecasting models and tested for serial correlation while improving model reliability using resampling techniques.

Tools: Python, Time Series, Statistical Testing

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Sale Price Prediction Model

Developed a multiple linear regression model to predict housing sale prices while evaluating model significance and performance.

Tools: Python, Regression, Data Analysis

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Logistic Regression Model

Built a classification model using thoracic surgery data to predict post-surgery survival outcomes.

Tools: Python, Classification, Data Preprocessing

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Climate Data Analysis

Explored non-anthropogenic climate factors through statistical analysis of sunspot activity and magnetic data.

Tools: Statistical Analysis, Data Exploration

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PDF Workflow Checker

Early-stage workflow validation system focused on reducing manual review errors and improving operational processing efficiency.

Status: In Development

Core Focus Areas

Data Analytics

Exploratory analysis, forecasting, predictive modeling, and business intelligence solutions.

Workflow Optimization

Identifying inefficiencies, reducing operational friction, and improving process efficiency.

Automation & Reporting

Building tools and workflows that reduce repetitive manual work and improve information visibility.

About

Reuben Decker LLC focuses on data systems, workflow optimization, operational analytics, and practical automation solutions.

Current work includes predictive modeling, time series analysis, workflow simplification, and operational intelligence projects designed to improve efficiency and decision-making.

Contact

Email: reubendecker@gmail.com

LinkedIn: linkedin.com/in/reubendecker-data

GitHub: github.com/dreubend