Hello everyone,
I am currently working as a sustainability data scientist, and I'm intending to conduct independent research at the intersection of climate change and machine learning. I am highly proficient in data analysis, visualization, time series forecasting, supervised machine learning and natural language processing. Furthermore, I have substantial knowledge in the domains of climate change, biodiversity and sustainability in general. Here are a few examples of my past work:
- Forecasting Atmospheric CO2 Concentration: https://towardsdatascience.com/forecasting-atmospheric-co2-concentration-with-python-c4a99e4cf142
- Visualizing Climate Change Data: https://towardsdatascience.com/visualizing-climate-change-data-with-python-74ea5bac8756
- Statistical Hypothesis Testing with Python: https://towardsdatascience.com/statistical-hypothesis-testing-with-python-6a2f38c12486
- Simplifying Machine Learning with PyCaret book: https://leanpub.com/pycaretbook
In case you are interested in collaborating, I encourage you to leave a comment or message me. Thanks you for taking the time to read this post!
Regards,
Giannis Tolios
Hey Mr. Tolios,
I ma Dilshad Raza, Bachelors final year student from University of the Punjab, Lahore. My majors is Geology. I am also focused on Data Science and Machine Learning. If I can work with you it would be my pleasure.
Thanks
Hello Giannis,
I'm interested in machine learning and CO2, now I do the research
Hello all,
I'm interested in collaborating on coupling machine learning and metaheuristics to deploy robust ML solutions for environmental problems. We are currently working on river stream flow, air quality, and solar radiation time series datasets. It would be nice to join efforts to build innovative methods or apply existing ones in new datasets that challenge ML approaches.
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