Position: Agriculture Data Analyst Intern

Company: AQUFISH TECHNOLOGY SDN BHD

Location: Hybrid (Remote+ On-site)

Duration: 1/3/2026 until 21/6/2026 | 16 Weeks

Start Date: 1/3/2025

About Aqufish

Aqufish is a Malaysian-born social enterprise transforming the aquaculture industry with automation, AI, and real-time monitoring technologies. Our product, Aqumonitor, is an intelligent system that helps farmers improve fish growth, optimize feeding, and monitor environmental health.

Role Overview

We are seeking a detail-oriented Industrial Statistics Intern to lead our data quality and analysis efforts. This role is a unique hybrid of fieldwork and data science. You will visit fish farms to collect primary biological data (weight, length, health), annotate visual data for our AI models, and apply statistical methods to analyze growth trends.

This position is ideal for students who want to see the entire lifecycle of data from physical collection in the field to statistical optimization on the computer.

Preferred Skills & Knowledge

Key Responsibilities

On-Site Data Collection (Fieldwork)

• Travel to the fish farm to conduct physical sampling of livestock.
• Use provided tools (weighing scales, measuring boards) to record fish weight, length, and physical conditions.
• Ensure data collection follows strict sampling protocols to minimize bias and error.

Data Annotation & Preparation (Remote)

• Use CVAT (Computer Vision Annotation Tool) to label images and videos of fish behavior.
• Clean and digitize raw field data into structured formats.
• Prepare datasets for the machine learning team, ensuring high accuracy in labeling.

Statistical Analysis & Optimization

• Growth Analysis : Analyze the correlation between feed amounts and fish growth rates using Advanced Excel.
• Sampling Optimization : Determine the optimal sample sizes needed for future data collection to ensure statistical significance.
• Reporting : Visualize trends and present findings to the engineering team to improve farming strategies.

What You’ll Gain

• End-to-End Data Experience : Learn how "messy" real-world data is collected and how to clean it for high-level analysis.
• AgriTech Exposure : See how statistics are used to optimize food production and sustainability.
• Hybrid Flexibility : Balance hands-on outdoor work with remote technical analysis

Internship Scope – Phase Breakdown

Phase 1: Field Sampling & Data Acquisition

• Goal : Master the physical data collection process.
• Assist in setting up the sampling framework at the farm.
• Physically measure and weigh fish samples.
• Digitize manual logs into Excel databases.

Phase 2: Data Annotation (CVAT)

• Goal : Convert raw visual data into AI-ready datasets.
• Annotate video footage to identify fish count, size, and activity levels.
• Verify the quality of image data for model training.

Phase 3: Statistical Modeling & Reporting

• Goal : Turn data into actionable insights.
• Run regression or correlation analyses (e.g., Feed Conversion Ratio).
• Calculate optimal sample sizes for future cycles to reduce workload while maintaining accuracy.
• Present a final report on fish growth trends over the 16-week period.