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nadiamuhe/README.md

Hi, I am Nadia! 🪴

Machine Learning • Cloud Data • Statistical Methods

Welcome to my GitHub!

This profile includes machine learning and AI projects, cloud and BI work, and open-source data science tutorials.

Machine Learning & AI Projects

1) Deploying AI
AI engineering coursework: foundation models, prompt engineering, retrieval-augmented generation (RAG), agents, fine-tuning, and AI system design.


2) Deep Learning
Neural networks, backpropagation, CNNs for image processing, RNNs for NLP, embeddings, and recommender systems using Keras and TensorFlow.


3) ML Systems & Production
ML systems design and production deployment: data engineering, feature engineering, model deployment, and monitoring.


4) Algorithms & Data Structures
Big-O notation, time and space complexity, recursion, sorting and searching, and code optimization.

Cloud & Data Engineering

1) Healthcare BI Solution
End-to-end BI project demonstrating data modeling, ETL pipelines, and interactive dashboard development using Power BI, Azure SQL, and Python.

  • Star schema design and dimensional modelling
  • ETL workflows for processed datasets
  • KPI dashboards for healthcare insights
  • Dashboard Demo Video

2) Cloud Data Reference Guides
A structured collection of practical cheat sheets and reference materials covering core cloud data concepts.

  • Spark, DAX, KQL, and analytics workflows
  • Pipeline patterns and data quality validation
  • Data modelling and warehouse design

Data Science Tutorials

Open-source tutorials I've developed for the University of Toronto research community.

Tools & Technologies

Python • R • SQL • PySpark • Azure (SQL, Fabric, Blob Storage) • Power BI • DAX • Docker • Git

Popular repositories Loading

  1. r-covid-sir-modeling r-covid-sir-modeling Public

    COVID-19 data analysis and SIR modeling using R code and external data from Johns Hopkins.

    R 1 1

  2. data-viz-with-python data-viz-with-python Public

    A guide that illustrates Python code for a series of common graphs using Python libraries pandas, matplotlib, seaborn, ggplot (aka plotnine) and plotly.

    Jupyter Notebook 1

  3. python-ecology-lesson python-ecology-lesson Public

    Forked from datacarpentry/python-ecology-lesson

    Data Analysis and Visualization in Python for Ecologists

    Jupyter Notebook

  4. nadiamuhe.github.io nadiamuhe.github.io Public

    HTML

  5. TTC-Delays-Shiny-Application TTC-Delays-Shiny-Application Public

    R

  6. dsi-production dsi-production Public template

    Forked from UofT-DSI/production

    ML systems design and production deployment coursework, including data engineering, feature engineering, model deployment, and monitoring.

    Jupyter Notebook