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I will do time series analysis forecasting using sarimax, lstm, gru in python
About this Gig
Welcome to my Time Series Analysis & Predictive Modeling Gig!
Hi,
As an experienced mechanical engineer with strong Python data analysis skills, I build robust predictive models to forecast sales, weather, or energy trends. From classical statistics to Deep Learning, I turn complex sequential data into actionable insights.
Core Services
- Data Preprocessing & EDA: Handling missing values, stationarity checks, ACF/PACF, and time series decomposition.
- Statistical Modeling: ARIMA, SARIMA, SARIMAX, and Prophet for clear trends and exogenous variables.
- Deep Learning: RNN, LSTM, and GRU networks for complex, non-linear sequences.
- Evaluation & Visualization: Rigorous metric tracking (RMSE, MAE, MAPE) and clear plots (Matplotlib, Plotly).
Tech Stack
- Python, Pandas, NumPy
- Statsmodels, Scikit-learn
- TensorFlow, Keras
Why Choose Me?
- An engineering-minded approach to statistical data analysis.
- Clean, well-documented Jupyter Notebooks.
- Reliable communication and fast delivery.
Please message me before ordering to discuss your dataset and goals for a custom quote!
Programming language:
Python
•
R
•
Colab
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
SimpleCV
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
SimpleCV
•
Stata
•
Colab
