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shahdelkaranshawy/README.md

Hi, I'm Shahd 👋

Business Informatics graduate focused on applied AI, data science, and LLM systems.

What I do

Applied AI & Data Science | LLM Systems • RAG • Knowledge Graphs

I design and build AI-powered systems for real-world decision-making, combining:

  • Large Language Models (LLMs) & agent workflows
  • Knowledge graphs & structured enterprise data
  • Machine learning & predictive analytics

Focused on scalable, explainable AI applications in business contexts.

Featured projects

Focus: Building AI-driven decision systems combining LLMs, knowledge graphs, and predictive analytics.

Repository Description
predictive-dashboard-thesis Bachelor thesis: forecasting + executive dashboard
ai-sales-assistant LLM + knowledge graph sales assistant (docs & architecture)
llm-proposal-composer LangGraph + Streamlit proposal generation
ml-churn-prediction Churn classification + regression mini-projects

Tech stack

Python · LLMs · LangChain · LangGraph · RAG · Knowledge Graphs · FastAPI · Power BI · Machine Learning · Time Series Analysis · SQL · scikit-learn · Pandas

Interests

  • AI for business decision-making
  • Explainable AI
  • Scalable LLM applications

Contact

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  1. predictive-dashboard-thesis predictive-dashboard-thesis Public

    Time-series forecasting (Prophet) + Power BI executive dashboard for key KPIs, sales, returns, and distributions (thesis artifact + reproducible sample data).

    Jupyter Notebook

  2. ai-sales-assistant ai-sales-assistant Public

    LLM + knowledge graph sales assistant concept (Oracle PGQL schema, architecture PDFs, runnable prompt/query samples).

    Python

  3. llm-proposal-composer llm-proposal-composer Public

    LangGraph + Streamlit proposal generator with multi-step workflow, human review, and DOCX export.

    Python

  4. ml-churn-prediction ml-churn-prediction Public

    Two ML mini-projects: telecom churn classification + used car price regression (end-to-end notebooks).

    Jupyter Notebook