I'm a Computer Science student at Ain Shams University with a strong focus on Artificial Intelligence, Machine Learning, and Data Science.

I enjoy building practical solutions across the full data and AI workflow — from data collection and preprocessing to model development, evaluation, deployment, and automation.

Currently, I'm developing my AI/ML skills through hands-on training and projects, while building a strong foundation in Data Engineering.

• 🎓 Computer Science Student at Ain Shams University
• 🤖 Focused on Machine Learning, Deep Learning & Generative AI
• 📊 Interested in Data Science & Data Analytics
• 🔧 Strong foundation in Data Engineering & ETL
• 🚀 Currently training as an AI Engineering Trainee at Samsung Innovation Campus
• 📚 Continuously learning and building real-world projects
• 💡 Interested in turning data into intelligent, practical solutions

Machine Learning: Regression · Classification · KNN · SVM · Decision Trees · Random Forest · Clustering · PCA

Deep Learning: Neural Networks · CNN · RNN

Generative AI: NLP · LLMs · RAG · Fine-tuning · Prompt Engineering · Agentic AI

Data Science: Pandas · NumPy · EDA · Data Cleaning · Statistics · Probability · Linear Algebra

Visualization: Matplotlib · Seaborn · Power BI · Tableau · DAX

ETL · Data Warehousing · Apache Airflow · PySpark · SSIS · dbt · Data Pipelines · Incremental Loading · SCD

SQL · SQL Server · MySQL · Oracle SQL

MLflow · Flask · Streamlit · Gradio · Docker

Requests · BeautifulSoup · Selenium

Git · GitHub · Jupyter Notebook · VS Code

Machine Learning project predicting passenger survival using demographic and ticket-related features.

Highlights:

• Data preprocessing and missing-value handling
• Exploratory Data Analysis
• Feature scaling with StandardScaler
• Compared Logistic Regression, Decision Tree, KNN, and SVM
• SVM achieved 82.8% accuracy
• Evaluated models using Confusion Matrix and ROC Curve

Tech: Python · Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn

Data Science project analyzing 5,000+ movie records and applying supervised and unsupervised learning techniques.

Highlights:

• Data cleaning and integration
• Exploratory Data Analysis
• Linear Regression
• Decision Tree Regression
• K-Means Clustering
• Model evaluation using MSE and R²

Tech: Python · Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn

End-to-end data pipeline for collecting and monitoring food prices from Amazon Egypt and Noon.

Highlights:

• Automated web scraping
• ETL and data transformation
• Medallion Architecture
• Azure Data Lake
• Apache Airflow orchestration
• Docker containerization
• dbt transformations
• Polars-based data processing

Tech: Python · Selenium · BeautifulSoup · Polars · Airflow · Docker · Azure Data Lake · dbt · SQL

Interactive Power BI dashboard for analyzing workforce, payroll, and employee performance.

Highlights:

• Star Schema data modeling
• Fact and dimension tables
• DAX measures
• KPI cards
• Workforce analysis
• Payroll analysis
• Performance analysis
• Year-over-year comparisons

Tech: Power BI · DAX · Power Query · Star Schema · Data Modeling

End-to-end Data Warehouse project transforming a bookstore OLTP database into an analytics-ready Star Schema.

Highlights:

• Fact and dimension modeling
• Surrogate keys
• SCD Type 2
• Bridge table for many-to-many relationships
• SSIS ETL pipeline
• Lookup transformations
• Incremental loading using a watermark table

Tech: SQL Server · SSIS · Data Warehousing · ETL · Star Schema

AI Engineering Trainee | Aug 2026 – Present

Developing practical skills in:

Machine Learning · Deep Learning · NLP · Computer Vision · LLMs · RAG · Fine-tuning · MLflow · Model Deployment · Prompt Engineering · Agentic AI

Data Engineering Trainee | Nov 2025 – Jul 2026

Worked with:

Python · SQL · PySpark · Apache Airflow · ETL · Data Warehousing · SSIS · SQL Server · Web Scraping

Training | Oct 2024 – May 2025

Focused on:

C++ · Data Structures · Algorithms · Competitive Programming · Problem Solving

DECI Level Two Ministry of Communications and Information Technology — MCIT

• Advanced Machine Learning
• Deep Learning
• NLP & LLM Applications
• Retrieval-Augmented Generation
• MLOps
• AI Agents
• Data Engineering
• Model Deployment

I'm always interested in connecting with people working in AI, Machine Learning, Data Science, and Data Engineering.

📧 Email: beshoyshohdy123@gmail.com