Collect data from various sources, including sensors, IoT devices, and manual recording systems.
Clean, process, and integrate data from diverse sources into a format suitable for analysis.
Design and build databases and data pipelines to effectively store and manage data.
Develop predictive models and analyses to optimize shrimp production, such as harvest forecasting, disease detection, and feed optimization.
Create interactive dashboards and reports to provide management with insights into farm performance, and analyze historical and real-time data to identify trends, patterns, and anomalies.
Requirements:
Bachelor's degree in Computer Science, Statistics, or a related field. Freshgraduate welcome to apply.
Experience with machine learning and data mining.
Understanding of data engineering concepts and data architecture. - Strong analytical skills.
Interest in the fisheries industry, particularly shrimp aquaculture.
Ability to work both independently and as part of a team.
Effective communication skills, both technical and non-technical.
Critical thinking and analytical skills.
Ability to communicate analysis results effectively.
Interest in the fisheries industry, particularly shrimp aquaculture.
