A former conservation biologist and GIS analyst who somehow ended up falling in love with data pipelines and automation πΏβ‘οΈπ
Fun fact: that's actually me in my profile picture caught by my own camera trap during my thesis fieldwork. Managing thousands of wildlife images and large field datasets was my first real encounter with big data. I didn't know it would lead me here, but curiosity has a funny way of showing up πΏ
- π Python Programming
- π Data Analytics with Python (Coursera)
Conservation Tech β Featured:
- πΏ Wildlife Monitoring Pipeline (Production-ready AI wildlife monitoring system, MegaDetector + SpeciesNet + Streamlit review app+ Power BI dashboard. Built from ~86,000 real camera trap images from my own thesis fieldwork)
Data Analytics:
Learning Series, Same Dataset, Different Tools:
- ποΈ Superstore SQL Analysis
- π Superstore Python Analysis
- π Superstore Power BI Dashboard
- Break into the data analytics field
- Build end-to-end projects that solve real problems
- Always find better, faster, and more efficient ways to solve problems (because doing things manually is just boring and tiring)
- Never stop learning