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KimmyCosmos/README.md

Kimberly Alexander

M.Sc. Computational Data Science (in progress) – UC Riverside
M.S. Applied Mathematics – UC Riverside
Former NASA Data & Analytics Intern – Aerosciences Evaluation and Test Capabilities (AETC)

I work at the intersection of data science, scientific computing, and analytics, building tools that help transform complex technical data into actionable insight.

Research & Interests

  • Data science for aerospace systems
  • Scientific computing and numerical methods
  • Machine learning and statistical modeling
  • Data visualization and decision-support tools

Technical Skills

Python • NumPy • Pandas • Scikit-Learn • MATLAB Machine Learning • Statistical Modeling • Data Visualization Scientific Computing • Algorithms & Data Structures

Featured Projects

NYT Text Classification
Comparative NLP study evaluating document representations including Binary Bag-of-Words, TF-IDF, SVD-based embeddings, and DistilBERT transformer embeddings for classifying New York Times articles. Implemented with Scikit-Learn, PyTorch, and HuggingFace.

Deepfake Detection with Transfer Learning
Computer vision project detecting AI-generated images using ResNet18 embeddings and a cross-validated neural classifier. Built using PyTorch and evaluated with standard ML performance metrics.

Streaming Data Structures Analysis
Implementation and analysis of probabilistic streaming algorithms including Bloom Filters, Count-Min Sketch, Flajolet-Martin, and DGIM for analyzing large-scale clickstream data with limited memory.

Social Network Graph Analysis
Graph analytics on the SNAP Facebook network dataset using NetworkX. Includes community detection, structural analysis, and visualization of network properties.

Dimensionality Reduction Analysis
Comparative study of PCA, t-SNE, and UMAP for visualizing high-dimensional datasets and understanding latent structure in complex data.

AI Search Algorithms
Implementation of classical AI search algorithms including Depth-First Search, Breadth-First Search, Uniform Cost Search, and A* using the Berkeley Pacman framework.

Links

LinkedIn: https://linkedin.com/in/kimmycosmos
GitHub: https://github.com/KimmyCosmos

Pinned Loading

  1. ai-search-algorithms ai-search-algorithms Public

    Implementation of classical AI search algorithms (DFS, BFS, UCS, A*) using the Berkeley Pacman framework.

    Python

  2. dimensionality-reduction-analysis dimensionality-reduction-analysis Public

    Comparison of PCA, t-SNE, and UMAP for visualizing high-dimensional datasets using scikit-learn.

    Python

  3. deepfake-detection-transfer-learning deepfake-detection-transfer-learning Public

    Deepfake image classification using ResNet18 embeddings, PyTorch, and cross-validated MLP training.

    Jupyter Notebook

  4. facebok-social-network-analysis facebok-social-network-analysis Public

    Graph analytics and community detection on the SNAP Facebook network using NetworkX.

    Jupyter Notebook

  5. nyt-text-classification nyt-text-classification Public

    Comparative NLP study classifying New York Times articles using Bag-of-Words, TF-IDF, SVD-based embeddings, and DistilBERT transformer embeddings.

    Jupyter Notebook

  6. streaming-data-structures-analysis streaming-data-structures-analysis Public

    Streaming analytics with Bloom Filters, Count-Min Sketch, Flajolet–Martin, and DGIM on online clickstream data.

    Jupyter Notebook