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mariamwalaa/README.md

Mariam Walaa | Data Analyst

MSc in Applied Mathematics | Toronto, ON

I am a Data Analyst specialized in bridging the gap between rigorous mathematical modeling and enterprise-level strategic insights. My expertise lies in creating production-ready machine learning solutions—ranging from Graph Neural Networks to LLM-driven pipelines—within highly regulated environments.

Resume | LinkedIn | Email

🎓 Education & Academic Research

  • Master of Science in Applied Mathematics | Toronto Metropolitan University (CGPA: 4.13/4.33).
    • Thesis: Analysis and Predictability of Centrality Measures in Competition Networks (Published in WAW'25).
  • Honours Bachelor of Science in Mathematics | University of Toronto Scarborough.
    • Minors: Statistics, Geographic Information Science (GIS), Computer Science.

🛠️ Technical Stack

  • Languages: Python (Expert), SQL, R, LaTeX.
  • LLMs/Agents: Anthropic, Gemini, GraphRAG, LangGraph, LangChain.
  • AI/ML: Graph Neural Networks (GNNs), NLP, Time-Series, Regression.
  • Engineering & Cloud: Azure (Databricks, ML), AWS (Sagemaker, S3), GCP (BigQuery), Docker.
  • Frameworks: PyTorch, PyTorch Geometric, Scikit-Learn, pandas.

📊 Featured Projects

Experience Chatbot (RAG Agent)

  • Developed a context-aware chatbot using OpenAI GPT-4 and FAISS to retrieve user-specific experience data using Streamlit UI.

Simpson’s Paradox Detection

  • Developed an algorithmic detection feature for Simpson’s Paradox in multi-layered datasets for integration into proprietary ML software.

Stock Portfolio Optimization

  • Created a mathematical optimization tool for asset allocation based on risk-return selection criteria.

✍️ Teaching

I have instructed hundreds of students in advanced quantitative concepts across several institutions:

  • Graduate Teaching Assistant: Discrete Math, Calculus, Linear Algebra, Probability & Statistics.
  • Research Assistant: Authored 15 R tutorials on reproducible data science workflows using GitHub Actions and Targets.
  • Data Science Writer: Contributed technical content to KDnuggets.

Pinned Loading

  1. ehart-altair/SimpsonsParadox ehart-altair/SimpsonsParadox Public

    Function for automatically detecting Simpson's Paradox

    Jupyter Notebook 18 9

  2. RohanAlexander/DoSStoolkit RohanAlexander/DoSStoolkit Public

    R Package that contains self-paced lessons for learning R.

    R 14 10

  3. StocksPortfolioOptimization StocksPortfolioOptimization Public

    End-to-end tool for performing portfolio optimization on a given set of assets and historical stock data.

    Jupyter Notebook 12 4

  4. CON-CN CON-CN Public

    Repository for contents of MSc Thesis Project (Analysis and Predictability of Centrality in Competition Networks)

    Jupyter Notebook

  5. LLM-Experiments LLM-Experiments Public

    A RAG chatbot that answers questions about my resume & Git portfolio using OpenAI's GPT, FAISS, and Streamlit UI.

    Jupyter Notebook

  6. arXivRecSys arXivRecSys Public

    Python class-based project to recommend and discover academic papers from arXiv based on NLP.

    Python