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Fatemeh-ameri/README.md

Hi, I'm Fatemeh Ameri 👋

I'm a Data Science graduate interested in machine learning, time-series data, and sensor data.

My M.Sc. thesis focused on activity recognition and step prediction using wearable sensor datasets. In this work, I implemented and compared classical machine learning models and deep learning models such as LSTM, GRU, and 1D-CNN.

I enjoy understanding how models work, so some of my repositories include from-scratch implementations, while others focus on data processing, experiments, and small portfolio projects.

Areas of Interest

Machine Learning · Data Science · Applied ML · Time-Series Data · Recommendation Systems · Model Evaluation

🛠️ Languages & Tools

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  1. step_prediction step_prediction Public

    Experiments with machine learning and deep learning models for physical activity classification and daily step prediction.

    Jupyter Notebook 2

  2. Nonlinear-Optimization Nonlinear-Optimization Public

    Python implementations of classical nonlinear optimization methods, including Newton, steepest descent, conjugate gradient, and Armijo line search.

    Jupyter Notebook 1

  3. board-game-popularity-race-project board-game-popularity-race-project Public

    Animated visualizations of historical BoardGameGeek popularity and rankings using Python.

    Python 1

  4. ood-project ood-project Public

    Small OOD detection experiments on CIFAR-10 using MSP, Energy score, and related confidence-based methods.

    Python