01CRM 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.
Cairo, Egypt · Open to international analytics roles
I turn messy CRM, sales and insurance data into reliable decisions.
Statistics graduate and Analytics Specialist building secure dashboards, rigorous analytical workflows and decision-ready stories using SQL, R, Python, Power BI, Salesforce and Excel.
B.Sc. Statistics Analytics Specialist DataCamp Certified
Decision system / liveSE-ANL-01
Reliability99.2%validated records
Signal+18%response coverage
Risk12exceptions surfaced
Operational signalDecision-ready
Messy inputsValidated modelBusiness action
9+
Case studiesBusiness and academic
3
Live Shiny appsOperational analytics
4
Model familiesCompared in graduation research
3.5/4
Statistics GPAWith honors
Selected evidence
Built for decisions, not decoration.
Each case study starts with the business question, shows the analytical choices and ends with a recommended action.
01
02Insurance Analytics · R Shiny · Risk Monitoring
Medical Claims & Pre-authorization Intelligence
An interactive insurance dashboard connecting claims utilization, rejection risk and pre-authorization operations in one decision environment.
03Automation 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.
04Customer 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.
05Graduation 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.
How I work
From unreliable records to accountable action.
Strong analytics is a chain. Every link has to hold: the question, the data, the method, the explanation and the decision.
Frame
Define the decision, stakeholder and cost of being wrong.
Validate
Standardize, reconcile and test the data before modeling.
Analyze
Choose the simplest method that answers the real question.
Operationalize
Turn findings into dashboards, thresholds and repeatable workflows.
Communicate
Make the evidence understandable without removing the uncertainty.
Capabilities
Statistical depth. Business usefulness.
The tools change. The standard stays the same: reliable inputs, defensible analysis and clear ownership of the next action.
Business Analytics
Connect measures to commercial and operational decisions.
CRM analyticsSales analyticsInsurance analyticsKPI designManagement reportingStakeholder communication
Data Reliability
Make the numbers dependable before making them persuasive.
Data cleaningValidationStandardizationDeduplicationException handlingQuality monitoring
Statistical Analysis
Choose methods based on the question and decision cost.
EDARegressionClassificationMultivariate analysisTime-series forecastingSpatial analysisModel evaluation
Analytics Products
Turn analysis into repeatable tools for real users.
R ShinyPower BISalesforce dashboardsExcelSQLPythonRGit & GitHub
Experience
Analysis grounded in real operating environments.
Commercial CRM and insurance data, national research indicators and official-statistics workflows.
Full resumeAnalytics Specialist
Deraya Insurance Brokerage
Support management decision-making through CRM, sales and insurance analytics, recurring reporting and data-quality operations.
Data & Research Analyst Intern
Egyptian Cabinet — Information and Decision Support Center
Contributed to official-data research, indicator validation and analytical quality review.
Statistical Analysis Intern
Central Agency for Public Mobilization and Statistics
Observed official-statistics workflows from survey design through processing, dissemination and quality control.
Verified learning
Credentials that reinforce the work.
Credentials are supporting evidence. The portfolio case studies show how the learning is applied.
010203
Cairo University — Faculty of Economics and Political Science
B.Sc. in Statistics
2024Minor in Socio-Computing · GPA 3.5/4.0 · Very Good with HonorsDataCamp
Data Analyst Certification
2026SQL and R assessments plus a complete practical analysis and presentation project.Google Career Certificates · Coursera
Google Advanced Data Analytics
2024Seven-course program covering Python, statistics, regression, machine learning and capstone work.A reliable analyst is a decision partner
Let's make the next decision clearer.
I'm interested in data analyst, business intelligence and analytics roles where rigorous analysis, reliable reporting and stakeholder communication matter.