Belinda hails from the Bayou City, where she earned her Bachelors of Architecture from the University of Houston. Drawn to the bright lights and energy of the city, she relocated to New York to attend Columbia University at the Graduate School of Architecture, Planning and Preservation. Her interests in all things that shape how we feel and experience public space led her to collaborate with artist Mary Miss, a prominent artist. This experience led to her interest in and understanding of data science because that work focused on gathering data from local residents to use as a tool for advocacy. Her projects during the bootcamp focused on elements of public space and culture, how to visualize them and draw insights from their visualization. She is captivated by the intersection of urban design and data science and excited to be able to apply her data science skills with R and Python to machine learning in this area.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
