Portfolio / Work

Evidence of how I think.

Business analytics products, decision stories and statistical research — documented through the problem, method, evidence and action.

All case studies

9 projects across business and statistical analytics.

Featured business projects appear first, followed by supporting research that shows method breadth.

01

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.

03

Automation Analysis · Sales Operations · Decision Story

Controlling Lead Reassignment Cost

A decision analysis testing whether repeated Zapier lead reassignment produces enough productive outcomes to justify automation-task consumption.

04

Customer Analytics · DataCamp Certification Project

Reducing Subscriber Churn at Fit.ly

A complete analysis joining account, engagement and support data to identify churn drivers and translate them into a measurable action plan.

05

Graduation Project · Statistics · Machine Learning

Predicting Social Security Coverage in Egypt

A policy-oriented classification study comparing interpretable statistical models with machine-learning and deep-learning alternatives.

06

Academic Research · Classification

Heart Disease Classification

Compared logistic regression, K-nearest neighbors and decision trees for heart-disease diagnosis using predictive and interpretability criteria.

07

Multivariate Analysis · COVID-19 Research

Character Strengths & Mental Health

Used factor analysis, clustering, discriminant validation and multivariate regression to examine character strengths and mental-health outcomes.

08

Time Series · Environmental Statistics

Rainfall Time-series Forecasting

Analyzed monthly rainfall patterns using decomposition, modern forecasting approaches and Box–Jenkins methods.

09

Spatial Statistics · California

Spatial Temperature Analysis

Studied spatial dependency and temperature variation using autocorrelation, trend surfaces, kriging and geographically weighted regression.