data-driven decision-making system
could fgure out the right fnancial incentives to use,
given the multiple scenarios based on the future
demand of rational consumers operating with a
fxed budget. By combining data and decisions
within one closed loop for bike sharing-systems,
performance was signifcantly improved by up to
40 percent, compared to methods using multiple
real data sets.
While the u
is the type of work that I hope to focus on during my career. Therefore, while pursuing my degree in data science, I would like to concentrate on learning and researching methods to incorporate statistical, mathematical, and computer-based skills that would optimize the decision-making process and business operation efficiency, and lead to creative ideas to develop viable data based products.
learned about the application of data collection and analytics to the turbine. The sensors were installed to collect real-time data, which enabled the data scientist to remotely monitor the equipments performance from a centralized data center and improve its efficiency by applying analytical solution to optimize the turbines system. Based on this encounter with the companys smart features, I beg
learned about the application of data collection and analytics to the turbine. The sensors were installed to collect real-time data, which enabled the data scientist to remotely monitor the equipments performance from a centralized data center and improve its efficiency by applying analytical solution to optimize the turbines system. Based on this encounter with the companys smart features, I beg
learn more about statistics, mathematics, and computer science to attain more sophisticated quantitative and analytical techniques such as statistical and mathematical analysis, data mining, optimization and algorithms. It is for these academic goals that I now aspire to pursue a graduate study in data science.
What intrigues me most about this field is the concept of data discovery, namely, disc