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@faizmahardika

I’m a geospatial data-focused biology student using machine learning and remote sensing to analyze ecosystems. Currently exploring data scientist

Indonesia
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What I'm looking for

I'm looking to grow as a data analyst / data scientist, applying remote sensing, geospatial analytics, and applied machine learning to solve real-world problems with data. I bring a strong scientific and ecological foundation, enjoy collaborating with capable teams, and want to keep developing from domain expertise into well-rounded, data-driven solutions.

I’m a final-year Biology student at Universitas Brawijaya with a growing focus on remote sensing, geospatial data analysis, and applied machine learning. I build machine-learning pipelines in Google Earth Engine and use satellite imagery to extract vegetation and environmental insights that connect directly to ecological questions.

In my experience, I’ve supported hands-on learning and evaluation—mentoring 40+ students in an ecology practicum and 50+ students in biocomputing. I also translate real-world conservation needs into analysis, including evaluating forest security across 180,000+ hectares against AMDAL standards and analyzing vegetation health across 10+ forest compartments.

I bring a strong people-development mindset from faculty-level organizational roles, where I led teams and delivered KPIs at high scale. I’m currently exploring data analytics and aiming to bridge ecological domain knowledge with data-driven problem solving through rigorous, production-minded geospatial analytics.

Experience

Work history, roles, and key accomplishments

Education

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Universitas Brawijaya logoUB

Universitas Brawijaya

Bachelor of Science in Biology, Biology

2022 -

B.Sc. Biology student with a focus on computational ecology, remote sensing, and geospatial data analysis. Undergraduate thesis applies machine learning to map mangrove canopy density using Sentinel-2 imagery in Google Earth Engine.

Tech stack

Software and tools used professionally

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