Had lived in Denmark, Netherlands, USA, Kenya, Germany, and China for studying, volunteering, and working
Supported Natural Resources Team and was in charge of the showcase of Esri's Green Infrastructure Initiative.
Applied AI methods in environment and climate sciences.
Big data analysis powered by AI, ML, and geospatial technologies
Python, JavaScript, MATLAB, IDL, Machine Learning
GEE, AWS, Google Cloud Platform, Spark
ArcGIS, QGIS, SNAP, ENVI, Photoshop
Volleyball, Squash, Hiking, Jogging
Guitar, Jazz, Indie, Hip Hop, K-Pop
Traveling, Cooking, Analog Photography, Video Games
The first globally to use PlanetScope for phenological analysis over semi-arid grasslands
My responsibilities: Tested and documented the functionalities of TRAILS platform
My responsibilities: Conducted research/literature review and GIS analyses to generate new indicators/layers and demonstrated the outcomes with Esri Story Maps
My responsibilities: Developed python packages for cloud-based data preprocessing and time series analysis of Landsat data
5-month internship at Esri headquarters in California
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Wanna get a data science job? Let's first get and Git and GitHub up and running. With this tutorial, you will be learning by doing. Plus, no prior knowledge is required!
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Save you from endless errors while installing packages and running old scripts. Essential knowledge to grasp as walking towards a professional data scientist.
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Very first step to get your deep learning model up and running on GPU.
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Better managing raster timeseries using Geoserver
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Make your ETL pipelines robust to changes and scalable for big data processing.
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Leading companies harnessing geospatial intelligence and AI for decision‑making across industries. Contributing to the repo if you see anything missing in the list!
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