Featured Work
XANE Chatbot
An AI-powered assistant for interacting with my portfolio, answering queries, and processing files.
- Rule-based system with LLM integration via OpenRouter API
- Handles text, images, and PDFs using Supabase for storage
- Image generation using Flux and Turbo via Pollinations
- Built with Streamlit for a seamless user experience
Semi-Automated Statistical Modeling Toolkit
A comprehensive suite of statistical modeling tools focusing on rigorous analysis, proper diagnostics, and interpretable results rather than pure predictive performance.
- Three specialized modules for Linear Regression, Logistic Regression, and Time Series Analysis
- Emphasis on statistical assumptions, diagnostic checks, and model interpretation
- Automated model diagnostics including multicollinearity, normality, and heteroscedasticity checks
- Interactive visualizations for model evaluation and assumption verification
- Detailed explanations of statistical concepts and results interpretation
Fixed Effects Panel Data Analysis of Spanish Dairy Farms
Econometric analysis of dairy farm productivity using panel data techniques.
- Analyzed panel data (247 farms, 1,482 observations) using Cobb-Douglas and Translog models in R
- Identified key drivers (Cows: 0.66%, Feed: 0.38%, p < 0.001) with increasing returns to scale (RTS = 1.11)
- Ensured robustness with clustered errors and log transformation, achieving ~80% adjusted R²
Time Series Analysis of the Volatility Index
Forecasting and modeling of market volatility using advanced time series techniques.
- Applied AR(I) and cubic models to daily VIX data (1990–2025) in R, with 6.67% MAPE
- Confirmed stationarity (p = 0.188) and validated with Box-Ljung and Box-Pierce tests
- Forecasted VIX levels (19.3–28.65) through 2034 with confidence intervals
Statistical Modeling of Blood Pressure
Regression analysis of hypertensive patient data to identify key predictors.
- Built multiple linear regression models in R on 20 hypertensive patients
- Identified key predictors (Age, BSA, Pulse) achieving adjusted R² = 90.1%
- Addressed multicollinearity (removed Weight) and validated models via ANOVA
Sampling Techniques in Big Data and Stream Data Analytics
Academic research on efficient sampling methods for large-scale and real-time data analysis.
- Comparative analysis of sampling techniques (Simple Random, Stratified, Reservoir)
- Practical implementation examples using Python and Dask
- Case studies on social media analytics and IoT data streams
Social Media and Its Impact on Society
Comprehensive study analyzing multidimensional effects of social media platforms.
- Examined 12 key variables including mental health, education, and politics
- Literature review of 15+ academic studies from 2019-2024
- Designed comprehensive survey instrument covering all research dimensions
- Policy recommendations for balanced social media usage
Survey Design Highlights
- 9 thematic sections (Demographics, Time Use, Mental Health, etc.)
- 40+ carefully crafted questions
- Multiple question formats (MCQ, Likert scales, open-ended)
- Variables mapped to research hypotheses
Ezz Eldin Ahmed
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