Predictive Maintenance Data Science for Solar Farm
Budget: ₹37,500 – ₹75,000 INR
I'm seeking a proficient Data Scientist to develop an AI predictive maintenance model for solar farm operations.
1. Integration:
The predictive analysis capabilities you devise should be delivered as a separate module that can be integrated into our existing system.
2. Analysis and Forecasting:
Your task will be to create a model that can accurately:
- Predict potential failures.
- Identify any suboptimal performance aspects.
- Generate predictive schedules for maintenance.
3. Data Sources:
You will need to analyze multiple data sources including:
- Sensor data.
- Historical maintenance records.
- Weather data.
The ideal candidate will have at least 3 years of professional experience in Data Science, with strong proficiency in Python/R and ML. Understanding of the solar energy sector would be advantageous but not essential. API work will be handled by our team, your main focus should be data analysis, model building, and solution integration.
1. Integration:
The predictive analysis capabilities you devise should be delivered as a separate module that can be integrated into our existing system.
2. Analysis and Forecasting:
Your task will be to create a model that can accurately:
- Predict potential failures.
- Identify any suboptimal performance aspects.
- Generate predictive schedules for maintenance.
3. Data Sources:
You will need to analyze multiple data sources including:
- Sensor data.
- Historical maintenance records.
- Weather data.
The ideal candidate will have at least 3 years of professional experience in Data Science, with strong proficiency in Python/R and ML. Understanding of the solar energy sector would be advantageous but not essential. API work will be handled by our team, your main focus should be data analysis, model building, and solution integration.