"Python Data Pipeline Forecasting"
Budget: ₹750 – ₹1,250 INR
I am looking for a skilled professional in Python, with a comprehensive understanding of PySpark, Databricks, and GCP. A primary focus of the project is to build a data pipeline and apply time series forecasting techniques for revenue projection, using historical sales data.
Key tasks will include:
- Constructing a robust data pipeline using Python, PySpark, and Databricks.
- Applying time series forecasting to produce revenue predictions.
- Using Mean Squared Error (MSE) to measure model accuracy.
The ideal candidate for this project would have:
- Proven experience with Python, PySpark, Databricks, and GCP.
- Expertise in time series forecasting models.
- Practical understanding and use of Mean Squared Error (MSE) for model accuracy.
- Experience with large scale historical sales data for revenue forecasting.
Due to the complex nature of this project, a thorough understanding of these tasks and requirements is essential. Please only bid if you feel confident in delivering this project successfully and in a timely manner.
Key tasks will include:
- Constructing a robust data pipeline using Python, PySpark, and Databricks.
- Applying time series forecasting to produce revenue predictions.
- Using Mean Squared Error (MSE) to measure model accuracy.
The ideal candidate for this project would have:
- Proven experience with Python, PySpark, Databricks, and GCP.
- Expertise in time series forecasting models.
- Practical understanding and use of Mean Squared Error (MSE) for model accuracy.
- Experience with large scale historical sales data for revenue forecasting.
Due to the complex nature of this project, a thorough understanding of these tasks and requirements is essential. Please only bid if you feel confident in delivering this project successfully and in a timely manner.