My journey from the beginning. Balancing the technical and not so technical aspects of data science.
I took some time to write down a my journey and aimed to allow you to become a bit more familiar with my approach to analyzing sets of data. I try to provide these insights in a variety of ways as data analysis is multi-demensional and to approach it solely from a technical aspect would ultimately be an injustice.
Python is my programming language of choice and where I feel the most comfortable. I received my Data Science Certificate from Flatiron School where I honed my skills in Python. Aside from being humbled daily, I can say I cannot get enough of any aspect of software development. I am capable in all aspects of data science, from gathering and cleaning data to creating supervised and unsupervised ML models. Aside from the technical aspects of the career, I am confident in my ability to communicate throughout the project, whether that is asking relevant questions at the projects inception or in being able to communicate my findings in a non technical manner so that they are actionable and valuable.
When I am not developing software, I love to be active and outdoors. The healthy balance between developing and being out in nature is essential for me and my sanity. Well, this is what I normally tell people when I book ANOTHER snowboarding trip. If I am not heading towards a mountain, family time is very rejuvenating for me and something I definitely look forward to in my off time. All this being said, I am probably working on a side project in my personal time if I am being totally honest. Idle hands and all...
