Developed time series models utilizing Greykite and Neural Prophet on Walmart retail data, with Flask deployment for efficient and scalable access.
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Jan 27, 2025 - Jupyter Notebook
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neural-prophet
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Algoritmo para previsão de séries temporais usando as bibliotecas Prophet e NeuralProphet em Python.
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Jun 4, 2021 - Jupyter Notebook
Auto-ARIMA timeseries forecasting in combination with PELT changepoint detection to predict social media viewership performance and identify major changes in performance trends. Models are deployed into a streamlit webapp for analytical functionality.
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Oct 17, 2023 - Python
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Jun 22, 2024 - Jupyter Notebook
Optimized demand forecasting using time series modeling with Prophet and NeuralProphet. Includes autoregressive memory, holiday effects, time-aware cross-validation, and hyperparameter tuning. Delivers interpretable, multi-horizon predictions for short-term accuracy and long-term grid planning purposes.
python energy-consumption demand-forecasting facebook-prophet timeseries-forecasting energy-forecasting neural-prophet demand-modeling
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Jun 29, 2025 - Jupyter Notebook
Project Work for TSDB Ph.D. Course (2 ECTS, 2022)
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Apr 8, 2022 - Jupyter Notebook
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