Ahmed Elsayed
Business Management graduate (Beni-Suef University, 2024) and current MBA student in Business Administration, combining formal business knowledge with hands-on technical skills in Python, C#, SQL, MATLAB, NumPy, and LaTeX. Independent developer of e-commerce websites and online sales stores (freelance experience during and after studies). Proven ability to improve search algorithms and build commercial sales algorithms based on purchase pattern modeling (MetaLab and similar platforms). Designed hybrid models (XGBoost + LSTM + GNN) for consumer behavior forecasting. Certified in data analysis, statistical modeling, and algorithm construction by Cisco, Microsoft, and Google. Skilled in Excel, Word, Power BI, Notebook LM and using algorithmic models for economic feasibility studies, network marketing, and game theory applications in business. Practical analytical experience in cryptocurrency trading platforms and global financial markets. · Languages: English, German (additional) -Arabic native language · Domains: E-commerce, marketing research, sales algorithms, applied mathematics.
Links
(Capital-Pulse Behavioral Model) A conceptual model for tracking the pulse of local capital to predict purchasing behavior acros...
CAPS Framework for inferring purchasing power patterns from competitive market signals
An analytical indicator designed to integrate with analytical platforms to predict consumer behavior using algorithms.
Verified Accounts
Interests
- Digital Marketing
- Social Media Marketing
- E-Commerce
- Sales algorithms
- Economics Behavior
- Network Marketing
- Data Analysis
- AI in Business
- sales agents
- Automation
- Deep Learning
- Marketing intelligence
