Yasser Elsherbini
Cincinnati
Summary
Dynamic professional with a proven track record at Qatar National Bank, excelling in financial data analysis and compliance. Expert in R and SQL, I enhanced data accuracy and audit readiness, while leveraging strong analytical skills to identify discrepancies. Committed to delivering impactful insights through effective data storytelling and visualization.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Business Teacher
Mongolia
01.2021 - 06.2025
- Guided students in applying quantitative reasoning and data interpretation
- Implemented interactive projects to simulate real-world business scenarios.
Financial Data & Compliance Analyst
Qatar National Bank
01.2021 - 12.2021
- Analyzed financial datasets to identify discrepancies impacting compliance and risk assessment
- Improved data accuracy and supported audit readiness
- Reviewed transactional data for AML and risk indicators
Data & Records Associate
Real Estate Operations
01.2016 - 12.2019
- Maintained structured datasets for over 200 property transactions, ensuring data accuracy and accessibility
- Analyzed pricing and contract data, providing insights to inform valuation decisions
- Identified and corrected documentation inconsistencies, reducing errors and enhancing data integrity
Education
MS - Business Analytics & Data Science
Trine University
Allen Park, MI12-2027
BBA - Business Administration
Ain Shams University
01-2019
Skills
- Data analysis
- Financial modeling
- Analytics & Modeling: Regression (Linear, Multiple, Logistic), Decision Trees, Random Forest, Gradient Boosting
- Data & Visualization: Data Cleaning, EDA, Dashboards, Data Storytelling
- Programming & Tools: R, SQL, Excel (Advanced), IBM Cognos Analytics, Tableau
- Statistical software
Certification
- IBM Data Analysis with R
- IBM Data Science with R (Capstone Project)
- IBM Data Visualization with Excel & Cognos
- IBM Data Visualization with R
- IBM Excel Basics for Data Analysis
- IBM Introduction to Data Analytics
- IBM Introduction to R Programming for Data Science
- IBM SQL for Data Science with R
Projects
Customer Churn Analysis — R, Excel, Built logistic regression model achieving ~78% accuracy to predict customer churn, Developed multiple regression model with R2 ~ 0.89 to explain total customer charges, Identified tenure and monthly charges as key drivers impacting retention, Decision Tree & Predictive Modeling — R, Built classification and regression models using decision trees and ensemble methods, Evaluated models using ROC/AUC and RMSE across multiple train/test splits, Selected optimal models based on performance and overfitting analysis, Statistical Analysis Project (ANOVA & Chi-Square) — Excel, Conducted ANOVA and Chi-Square tests to analyze income differences across groups, Applied hypothesis testing to evaluate statistical significance, Translated findings into real-world business insights, Data Visualization & Dashboard Project — Cognos, Excel, Designed dashboards to track KPIs including profit, sales trends, and customer sentiment, Created visualizations (bar charts, treemaps, heatmaps) to support decision-making, Applied data storytelling principles to communicate insights effectively
Timeline
Business Teacher
Mongolia
01.2021 - 06.2025
Financial Data & Compliance Analyst
Qatar National Bank
01.2021 - 12.2021
Data & Records Associate
Real Estate Operations
01.2016 - 12.2019
MS - Business Analytics & Data Science
Trine University
BBA - Business Administration
Ain Shams University