Omar Wael
Data Analyst
"Torture the data, and it will confess to anything. Build the right model, and it will tell you the truth."
Skills & Tools
- Data Analysis
- ML Engineer
- PresentationsPresentations
- CommunicationCommunication
- Business DevelopmentBusiness Development
- DocumentingDocumenting
- Script WritingScript Writing
- Business ModellingBusiness Modelling
About Me
Most data analysts stop at the spreadsheet. I start there.
I am a Data Analyst and Machine Learning Developer who believes that raw data is just a story waiting to be told. With a background that spans writing complex Python predictive pipelines to founding a startup and leading national presentation teams, I don't just crunch numbers I translate them into actionable business strategies.
I’ve learned firsthand—from navigating competitive markets to architecting ML models—that a highly accurate algorithm is useless if it doesn't solve a real business problem. Whether I am forecasting retail demand with time-series models, optimizing inventory, or building interactive Streamlit dashboards, my focus is always on the "so what?" of your data.
Work Experience
Sep 2026 - Oct 2026
ML Intern
National Telecommunication Institute
Data Pipeline Construction & Preprocessing
Exploratory Data Analysis (EDA)
Predictive Modeling & Algorithm Training
Interactive Deployment
Technical Storytelling & Presentation
Oct 2026 - Present
Founder and CEO
Ka'ab Dayer
Strategic Vision & Business Modeling
Platform & Product Architecture
Fundraising & Pitching
Operational Planning & Execution
Vendor Ecosystem Management
Executive Leadership & Decision Making
Sep 2025 - Aug 2026
Head of Presentations
Enactus BSU
Strategic Planning & Committee Operations
Curriculum Design & Training
Pitch Architecture & Narrative Structuring
High-Stakes Coaching for Competition
Cross-Functional Leadership
Education
2023 - 2027
Computers and Artificial Intelligence
Beni Suef National University
Selected Work
Retail Demand Forecasting & Inventory Optimization Pipeline (ML & Time Series)
ML Demand Forecasting & Inventory Optimization System Developed an end-to-end ML solution analyzing 1M+ retail transactions to predict weekly demand and prevent stockouts or overstocking.
Data Engineering & EDA: Built robust pipelines to handle returns, zero-demand gaps, and outliers. Applied Pareto (ABC) and seasonality analysis to isolate high-impact inventory.
Predictive Modeling: Trained Prophet and Random Forest models using dynamic pricing and holiday regressors, optimizing for WAPE and RMSE metrics.
Interactive Deployment: Built a Streamlit/Gradio dashboard providing real-time visual projections, custom forecast horizons, and automated restock alerts.
Certifications
ML for Data Analytics
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Peer Mentor
