Aliaa M.

I help startups and tech-driven teams transform raw data into intelligent, actionable AI solutions.

Many businesses struggle with manual data processing, unstructured web data, and turning predictive models into functional, easy-to-use tools.

I specialize in building Machine Learning models, automating web scraping workflows, and developing interactive Streamlit applications that convert complex algorithms into clear business insights.

Proof & Key Projects:

Student Lifestyle Analysis: Built ML models using XGBoost & Random Forest with SMOTE handling to accurately classify outcomes.

Automated Data Scraping: Developed Python scripts (Requests/BeautifulSoup) to extract structured web data seamlessly.

Interactive AI Apps: Created Streamlit dashboards that turn predictive models into usable tools.

I focus on clean code, well-structured workflows, and delivering clear end-to-end Machine Learning pipelines on time.

Looking to automate your data tasks or build an ML solution? Send me a message or check out my projects on GitHub to start the conversation!