Impact
The Numbers That Define My Work
Results speak louder than résumés. Here's the measurable impact I've delivered across projects and industries — from automating tedious workflows to building the dashboards that power executive decisions.
40%
Processing Time Reduced
Slashed manual data processing through custom automation pipelines built with Python and Power Automate
4+
Years of Experience
Cross-industry analytical expertise spanning Healthcare, Fintech, and Education sectors
20+
Dashboards Delivered
Data-driven dashboards developed for strategic decision-making at the executive level
92%
Forecast Accuracy
Revenue prediction accuracy achieved through advanced predictive modeling techniques
Credentials
Professional Certifications
Industry-recognized certifications that validate my expertise across data analytics, healthcare, statistics, and insurance domains. Each credential represents rigorous examination and practical skill verification.
Microsoft Certified: Power BI Data Analyst Associate
PL-300 — The gold standard for Power BI professionals. Validates expertise in preparing data, modeling data, visualizing and analyzing data, and deploying and maintaining assets across enterprise environments.
Learn Python in a Week!
- Core Programming Skills: Developed a solid foundation in Python programming, covering essential syntax, data structures, and logic.
- Data-Ready Logic: Gained the necessary coding skills to automate data tasks and build the groundwork for advanced data science libraries.
- Hands-on Learning: Completed 13.5 hours of intensive practical training and exercises..
Statistics for Data Science Specialist
Probability & Regression — Advanced statistical methods certification covering probability distributions, hypothesis testing, linear and logistic regression, and Bayesian inference for data-driven decision-making.
Insurance Data Fundamentals Certified
Industry Credential — Demonstrates proficiency in insurance data ecosystems, actuarial data analysis, risk modeling fundamentals, and regulatory reporting compliance standards.
Digital Egypt Pioneers Initiative (DEPI) | Data Analytics - Microsoft Power BI Engineer Issued by: Ministry of Communications and Information Technology (MCIT), Egypt Nov 2024 – May 2025
- Professional Specialization: Successfully completed an intensive professional program focusing on advanced Data Analytics and Microsoft Power BI Engineering.
- End-to-End Solutions: Mastered the full lifecycle of data analytics, including data modeling, DAX, and creating complex interactive dashboards.
- Industry Standards: Trained under the supervision of MCIT and leading technical partners like CLS Learning Solutions and 365 Leading.
13+ Power BI Portfolio Projects with DAX & SQL (2026):
- Issuing Organization: Udemy
- Completion Date: April 9, 2026
- Duration: 41 total hours of intensive training
- Core Impact: study over 13 comprehensive hands-on projects using Power BI with direct SQL database integration. Developed advanced DAX measures to build complex analytical scenarios.
Microsoft Power BI Desktop for Business Intelligence :
- Issuing Organization: Udemy (Maven Analytics)
- Completion Date: April 9, 2026
- Duration: 17 total hours
- Core Impact: Mastered the full data analysis lifecycle within Power BI Desktop, including data connecting, transforming (Power Query), advanced data modeling, and interactive report design.
Statistics For Data Science and Machine Learning with Python :
- Issuing Organization: Udemy (Instructor: Taher Assaf)
- Completion Date: April 9, 2026
- Duration: 7.5 total hours
- Core Impact: Strengthened the statistical foundation required for data science, covering probability, hypothesis testing, and regression analysis specifically applied using Python.
Misk Foundation: Data Analytics Virtual Work Experience with STC.
Education
Academic Foundation
A strong academic background combining computational biology with foundational sciences — providing the analytical rigor and research methodology that underpins my data practice.
1
Post-Graduate Pre-Master's in Bioinformatics
Faculty of Computers & Artificial Intelligence
Ain Shams University
Ain Shams University
Advanced coursework at the intersection of computational science and biological data analysis. Developed expertise in algorithmic thinking, large-scale data processing, and AI-driven research methodologies.
2
Bachelor of Science (B.Sc.)
Benha University
Comprehensive scientific education establishing a strong foundation in mathematics, research methodology, and analytical thinking. This degree cultivated the systematic approach to problem-solving that drives my work today.
3-Advanced Workforce & Retention Analytics (The Executive View)
- The Problem: High attrition rates and lack of visibility into "Total Cost of Turnover," making it difficult for leadership to forecast hiring needs or identify cultural gaps.
The Solution: Developed a sophisticated Power BI ecosystem featuring Predictive Attrition Modeling. I implemented complex DAX measures to calculate "Time-to-Hire," "Offer Acceptance Rate," and "Revenue per Employee."
- The Result: Reduced turnover-related costs by providing early warning signals for departments with high flight risk. Enabled leadership to shift from reactive to Proactive Talent Management based on trend forecasting.
Project Showcase
4-Electronic High-Quality No Price (Inventory & Product Analysis)
Managing a high-end electronics inventory where the focus is on quality metrics and stock movement rather than just price-driven sales.
The Solution :
Built a specialized analysis to track product quality ratings, return rates, and stock turnover for premium electronic goods using Advanced Excel and Power BI.
Built a specialized analysis to track product quality ratings, return rates, and stock turnover for premium electronic goods using Advanced Excel and Power BI.
The Result:
Optimized inventory levels by identifying slow-moving high-quality items, ensuring that warehouse space is allocated to the most in-demand premium products.
Optimized inventory levels by identifying slow-moving high-quality items, ensuring that warehouse space is allocated to the most in-demand premium products.
5-Online Learning & Courses Dashboard
The Problem: An online education provider struggled to track student enrollment trends, course completion rates, and revenue performance across different categories.
- The Solution: Developed a centralized Power BI dashboard that visualizes key performance indicators (KPIs) such as active learners, drop-out rates, and popular course topics.
- The Result: Provided actionable insights that helped the marketing team identify "high-demand" courses and optimize their promotional strategy, resulting in a 20% increase in student engagement.
Strategic Data Analysis of the Metropolitan Transportation Authority (MTA) Network :"Graduation Project for the Digital Egypt Pioneers Initiative (DEPI), sponsored by the Ministry of Communications and Information Technology (MCIT), specializing in Data Analytics - Microsoft Power BI Engineer track".
MTA Transit Network: A Strategic Overview
Designed an integrated data model connecting MTA’s subsidiary and affiliate agencies. This card showcases the transformation of fragmented datasets from one of the world's largest transit networks into a unified organizational structure that empowers strategic decision-making.
Designed an integrated data model connecting MTA’s subsidiary and affiliate agencies. This card showcases the transformation of fragmented datasets from one of the world's largest transit networks into a unified organizational structure that empowers strategic decision-making.
Ridership Recovery & Trends
Monitoring daily ridership patterns compared to pre-pandemic levels through interactive dashboards. Utilized time-series analysis to identify peak travel days and understand new passenger behaviors, directly supporting improvements in network operational efficiency.
COVID-19 & Transit Correlation
This card bridges my expertise in "Health Data" with operational analytics. Analyzed the correlation between COVID-19 infection rates and ridership decline, providing proactive insights into managing health crises and their direct impact on urban infrastructure
Revenue & Financial Deficit Analysis
A deep dive into the financial gap caused by the pandemic, calculating key metrics like Revenue Improvement %. The analysis revealed a significant income drop of 12.38% for LIRR and 22.47% for Metro-North, providing clear insights into the deficit and