I’m a Data Scientist and Analyst with 3+ years of experience turning large, messy datasets into actionable insights. I’ve worked across genomics, environmental data, and applied research — building pipelines for 25+ TB of data, developing reproducible tools for scientists and agronomists, and delivering dashboards and visualizations that actually drive decisions.
My toolkit includes Python, SQL, R, Power BI, and workflow automation tools like Snakemake and Git. I love working at the intersection of data and impact — whether it’s modeling genotype–environment interactions to accelerate crop improvement, or helping teams ask better questions through cleaner, smarter data.
I’m especially passionate about sustainability, urban systems, and using tech to solve real-world challenges. I bring a strong research background, a user-centered mindset, and a collaborative style to every project.
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