Hi, I am Fisseha. I love developing data products and solving challenging real world problems using data.
I am a data scientist at CGI. Before joining CGI (2015-2016), I worked in the U.S. Food and Drug Administration as a data scientist. I enjoy challenging and complex data analysis, data mining, machine learning and data visualization tasks.
My PhD study was in atmospheric physics. In graduate school (2009-2015), I analyzed large volume climate and hydrology data,
using various bayesian and frequentist statistical data analysis techniques, to understand physical processes in the atmosphere and to
evaluate how climate change may impact the Nile River flow, which is the longest river in the world.
Moreover, I used many machine learning methods to develop statistical rainfall prediction models.
Here is a summary of
the major projects I completed.
After I joined Industry as a data scientist, I implemented various projects that involve end-to-end data analytics and machine learning, starting from defining the problem, getting data from various sources, exploratory analysis and visualization to advanced analytics, data mining, machine learning and presentation of results.
I frequently post various data science side-projects on this website, DataScience+ and R-bloggers. So, keep visiting them. You will find new and interesting posts.