I'm an aspiring data scientist. My Master's thesis involved building real-world systems for object detection and measurement in aquaculture — now, I'm shifting my focus toward applying data science to broader challenges across industries.
A full deep learning pipeline for automated prawn counting and length measurement in underwater ponds — part of my 2025 master’s thesis.
✅ Highlights:
- YOLOv8-based detection model for counting prawns in drone footage
- Pose estimation for precise morphometric measurements
- Ground truth validation using ImageJ and prawn exuviae
- Dataset management, error analysis, and interactive exploration via FiftyOne
This project taught me how to:
- Handle noisy, real-world data
- train deep learning models
- Work with metrics, visualization, and automation tools
- Document and communicate research clearly
Now, I'm expanding into core data science skills, including:
- Data cleaning & exploration (Pandas, SQL)
- Machine learning & evaluation (fiftyone)
- Visualization (Plotly)
- Business-oriented thinking and storytelling with data
Core Tools
Python • Pandas • SQL • Plotly
ML & Vision
YOLOv8 • OpenCV • FiftyOne • Ultralytics
Dev & Workflow
Git • Colab • Jupyter Notebooks • Markdown
Before data science, I explored creative technology and gamified systems through Unity projects.
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🌍 Location based social media location based social media
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🦠 Covid-Time Game 2D Unity game simulating coping with covid in a fun way
🎯 My goal: To join a data science team where I can grow, contribute, and apply my technical skills to real-world problems.
Let’s build data-driven solutions together.