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Uyen
Nguyen



PROJECT_Data Science

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We are building a prediction algorithm for the Kiva loan project to identify the most needy communities and regions to give financial funding to. Individual funders and the Kiva fund planning team can look at the analysis, which inspects MPI index, historic amount of funding and correlation to economic development, and decide where to continue funding.
  1. What was a favorite failure: logarithmic data transformation for a histogram
  2. What was your favorite false start: not separating my projects into smaller tasks to give myself more motivation to complete each step.
  3. What was your secret superpower: Googling the right thing
  4. What was your favorite data visualization, and why? Treemap, because it shows relational proportions of different categories in a logical way//
  1. What was a favorite failure: finding the right algorithm for my prediction problem
  2. What was your favorite false start: making the problem too complicated.
  3. What was your secret superpower: not afraid to ask questions
  4. What was your favorite data visualization, and why? bar charts, because they are simple to build but can deliver the message across very well.