Kimberly Nguyen

Data Science is when you take historical data, apply some math to it and come up with conclusions. As a Data Science Consultant, I turn data into creative solutions for clients’ most complex business issues, and then use that same data to help drive business decisions, manage risk and even predict the future.

I love the collaboration in the work that I do. The people in the data science community at Accenture are so intelligent and fun to work with. I love putting our heads together to solve a tough problem.

I recently worked as a senior developer on a Microsoft Power BI project for a U.S. government client, where I collaborated with two other developers. We started out not knowing much about Power BI, which is a platform that enables you connect, model and visualize data, but we all became experts by the end of the project by helping each other research solutions when we ran into walls. With our combined skills, we were able to create multiple highly advanced dashboards that presented the client’s data in an easily synthesizable format, so that they could use those insights to better serve their clients.

It’s so important to keep learning so your skills stay fresh. I’ve taken many training courses at Accenture—but I’ve learned the most from my peers. I learn the best when being taught by someone who uses the coding language or modeling methodology in their everyday work, such as my data science consultant colleagues at Accenture who have voluntarily hosted a series of Python classes.

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