Utilizing Docker, FASTAPI and AWS Beanstalk to Solve Real World Issues in Rwanda

Utilizing Docker, FASTAPI and AWS Beanstalk to Solve Real World Issues in Rwanda

Adding value as a Data Scientist: Utilizing Docker, FASTAPI, and AWS Beanstalk to solve real world issues in Rwanda. Adding value through Data Science and Data Engineering.

For my final project at Lambda School I was put into a cross-functional team that would work directly with Bridges To Prosperity, a non-profit focused on building footbridges over impassable rivers in isolated communities to create access to essential health care, education and economic opportunities. The problem Bridges To Prosperity faced concerned their engineering department: the engineers spent an inordinate amount of time reviewing bridge sites, that in some cases need immediate attention, before being able to make a decision regarding whether to build at the site. Therefore, our goal was to build a product that could assist the engineers in the review stage.

We decided to build a web application that would allow all stakeholders including the engineers to evaluate the sites on an interactive map. Our team compromised of two front-end developers, two back-end developers, and three data scientists. The deliverables for Data Science were the following: create a classification model that can accurately identify engineering reviews that were false negatives, clean data sets for stakeholders, and provide interactive visualizations to better understand the data.

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Online Data Science Training in Noida at CETPA, best institute in India for Data Science Online Course and Certification. Call now at 9911417779 to avail 50% discount.

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Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.