A business-minded analytics professional, currently pursuing a Master of Information and Data Science from UC Berkeley, with experience utilizing statistical methods and machine learning to extract meaningful insights and create data products from large amounts of customer and operational data.
A high-level description of top qualities; my TL/DR.
I want to find the biggest, highest-value problems and solve those, as soon as possible. I don't require a lot of guidance during the problem-solving process, and I can typically navigate around roadblocks, political or otherwise, in order to get results.
The focus is on quality, but always with an eye on the clock. With a deadline approaching fast, I will make sure that the priorities are handled in order, avoiding distractions that don't have a tangible impact.
My primary concern in education is to gain a solid grasp of the intuition and skills required to practically apply data mining and machine learning techniques for solving real-world business problems.
Special care is often required to double-check my results with tests put in places where I know a bug would manifest into a big problem. Speed is often a priority, but cannot come at the complete sacrifice of meaningful results.
Around the world with data science
I started my career as an analyst, after studying Business Administration for my undergraduate degree (with formal options in Finance and Information Systems).
I've moved around a lot due to opportunities presenting themselves to me overseas. I was able to gain experience with data science while being an expat in two different countries (Germany and the Netherlands).
Today, I live in the United States, but I'm open to data-centric opportunities in any part of the world.