As data becomes increasingly useful, organizations need people who are not just skilled with data, but can apply them to various fields. I want to help fill that need. I am proficient with various quantitative tools, as well as the qualitative skills needed to apply them effectively.🏗️Automation is simple but effective. It saves time, increases transparency, and makes it possible to alter a workflow without manually-redoing each step, decreasing the risk of human error.🧮Statistics makes data-driven decision-making possible. By transforming data and fitting it into models, one opens up a whole new world of possibilities for finding insights.📈Data visualization makes it easier for non-technical staff to participate in data-driven decision-making, making the approach viable for most organizations.🌎Geospatial information system (GIS) greatly expands what data can be incorporated into one’s analysis, from census tracts to remote sensing with satellite imagery.🤖Machine learning allows for powerful predictive models, using large amounts of data to find near-imperceptible trends.📚Policy analysis skills allow one to use these technical tools while understanding the peculiarities of a given subject matter, and communicate the nuances in one’s analysis to others more effectively.🏃‍But, at the end of the day, the data analyst’s work is only as good as they are diligent about their craft. Data analysis requires diligence in patiently investigating potential complications in one’s analysis, and not cutting corners.Having graduated last June, I’m still figuring out where I want to apply these skills. Feel free to contact me!p.thomas.perrin@gmail.comGithub Repository:https://github.com/pperrin1234?tab=repositories