CRM Analytics · R Shiny · Analytics Engineering
Sales Leadership Analytics Platform
Two connected dashboard experiences for supervisors and sales leadership, built to monitor lead allocation, response quality, reassignment flow and SLA risk.
Portfolio / Work
Business analytics products, decision stories and statistical research — documented through the problem, method, evidence and action.
All case studies
Featured business projects appear first, followed by supporting research that shows method breadth.
CRM Analytics · R Shiny · Analytics Engineering
Two connected dashboard experiences for supervisors and sales leadership, built to monitor lead allocation, response quality, reassignment flow and SLA risk.
Insurance Analytics · R Shiny · Risk Monitoring
An interactive insurance dashboard connecting claims utilization, rejection risk and pre-authorization operations in one decision environment.
Automation Analysis · Sales Operations · Decision Story
A decision analysis testing whether repeated Zapier lead reassignment produces enough productive outcomes to justify automation-task consumption.
Customer Analytics · DataCamp Certification Project
A complete analysis joining account, engagement and support data to identify churn drivers and translate them into a measurable action plan.
Graduation Project · Statistics · Machine Learning
A policy-oriented classification study comparing interpretable statistical models with machine-learning and deep-learning alternatives.
Academic Research · Classification
Compared logistic regression, K-nearest neighbors and decision trees for heart-disease diagnosis using predictive and interpretability criteria.
Multivariate Analysis · COVID-19 Research
Used factor analysis, clustering, discriminant validation and multivariate regression to examine character strengths and mental-health outcomes.
Time Series · Environmental Statistics
Analyzed monthly rainfall patterns using decomposition, modern forecasting approaches and Box–Jenkins methods.
Spatial Statistics · California
Studied spatial dependency and temperature variation using autocorrelation, trend surfaces, kriging and geographically weighted regression.