I will analyze and forecast your time series data in python

Ukraine

I speak English, Ukrainian, Russian
Machine Learning Engineer and Data Scientist with a background in Computer Engineering and Applied Mathematics. I work with Python, scikit-learn, XGBoost, TensorFlow/Keras, pandas, NumPy and statsmode...
About this Gig

Do you have sales, demand, financial, production, website traffic, or other time-dependent data and need a reliable forecast?


I will analyze your time series data in Python and build a forecasting solution with clear evaluation metrics and visualizations.


### What I can do


* Clean and prepare time series data

* Analyze trends and seasonality

* Test stationarity

* Build naive and statistical baselines

* Develop ARIMA and SARIMAX forecasting models

* Compare model performance

* Calculate MAE, RMSE, and MAPE

* Perform residual diagnostics

* Generate future forecasts

* Create clear forecast and diagnostic plots

* Provide clean Python/Jupyter Notebook code


### Tools


Python, pandas, NumPy, statsmodels, scikit-learn, matplotlib


### What you will receive


Depending on the selected package:


* Clean and reproducible Python code

* Forecast visualizations

* Model evaluation metrics

* Actual vs predicted comparison

* Future forecasts

* Model diagnostics

* A concise explanation of the results


I focus not only on fitting a model, but also on checking whether it actually performs better than simple forecasting baselines.


Please contact me before ordering if you

Expertise:

Predictive analysis

Programming language:

Python

Frameworks:

Scikit-learn

Keras

PyTorch

APIs:

Google Cloud Vision API

Tools:

Jupyter Notebook

MLflow

SimpleCV