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
Currently, I want to apply topic modeling on a dataset of news articles about climate change. This will help us extract insights about the ways this subject is presented in media that affect the opinions of countless people globally. My original intention was to focus on greek news websites, therefore I created a dataset for this purpose. Still, we can decide on a different scope for the project, and analyze news articles from other countries. There are numerous free datasets available, and we can also consider utilizing an API to create more. 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
- Badges
- Science topic