Time Series Forecasting: LSTM on Subsidence Data

I'm looking for an expert in time series predictions using LSTM (Long Short-Term Memory) to forecast future values based on multivariate datasets such as temperature, ground water level, precipitation datasets. I will provide all data. The data has also gaps within. This project primarily focuses on predicting future subsidence trends using historical data.

Key aspects of the project:
- Utilize LSTM for forecasting future values from the subsidence data
- Experience with multivariate datasets is a must
- matlab or Proficiency in Python and relevant libraries (TensorFlow, Keras, etc.) is crucial
- Prior experience with time series predictions using LSTM will be highly regarded
- Ability to interpret and visualize data insights

Please include examples of previous relevant projects in your proposal. Looking forward to your bids.