Hi, I'm an expert Freelancers in Time Series jobs. I've already completed many all with 5 stars review.
I can offer you a complete analysis of your Time Series, with the tool I've developed in Python and R.
Presentation: Tool provided in a Jupyter Notebook so it's directly usable
Documentation: All documentation, including theory behind each graph & decision taken provided
Replicability/Scalability: Analysis completely replicable by just changing input data
Methodologies: Both Traditional (ARIMA) and new (FBProphet) methodologies including Machine Learning
The complete analysis consists of:
TS Decomposition into trend, Seasonal (yearly/weekly/daily/holidays) & Error components
TS Differentiation: normal & seasonal
TS analysis: Check of stationarity, correlations (ACF/PACF), Trend, moving average
TS Predictions: 2 models (ARIMA, FBProphet) used to create predictions, corresponding Interval of Confidence & Accuracy of predictions
Diagnostics of predictions: Accuracy and errors of predictions (MAE, MSE, MAPE, etc)
Anomaly Detection: Identify anomalies (and their importance) in the past data
Multivariate modeling & VARMA models: Predict y using multivariate models that use other covariates (x1, x2, x3, etc.)