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Hi it's me Gamze!

💫I'm currently working ML, Data Science in field Remote Sensing and Urban Analytics, deep learning
🌱 I’m currently learning AWS, image processing
💬 Ask me about spatial data analysis, GIS, data science tools
📫 Reach me: https://www.linkedin.com/in/mervegamzecinar/ -->

🌍 I like using data to solve problems and understand phenomenon, especially those related to environmental issues

⚡ I am deeply convinced of the importance of opening knowledge, data and codes

💫 The Zen of Python

  • Beautiful is better than ugly.
  • Explicit is better than implicit.
  • Simple is better than complex.
  • Complex is better than complicated.
  • Flat is better than nested.
  • Sparse is better than dense.
  • Readability counts.
  • Special cases aren't special enough to break the rules.
  • Although practicality beats purity.
  • Errors should never pass silently.
  • Unless explicitly silenced.
  • In the face of ambiguity, refuse the temptation to guess.
  • There should be one and preferably only one --obvious way to do it.
  • Now is better than never.
  • Although never is often better than right now.
  • If the implementation is hard to explain, it's a bad idea.
  • If the implementation is easy to explain, it may be a good idea.
  • Namespaces are one honking great idea -- let's do more of those!

🌐 Socials:

Discord LinkedIn Medium

💻 Tech Stack:

R MySQL Postgresscikit-learn PyTorch TensorFlow Pandas NumPy Keras SciPy Plotly

📊 GitHub Stats:



🏆 GitHub Trophies

Merve Gamze Çınar's Projects

awesome-geospatial-companies icon awesome-geospatial-companies

:globe_with_meridians: List & Map of 600+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

cameratraps icon cameratraps

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

earth-engine-datasets-list icon earth-engine-datasets-list

List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)

gee-js icon gee-js

A repository on the use of Google Earth Engine for various environmental applications.

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