CEU Electronic Theses and Dissertations, 2022
| Author | Kamenar, Gyongyver |
|---|---|
| Title | Sold Salt- and Sugar Content Comparison to the Business Goals |
| Summary | The project aims to help the retailer client to reach its business goals regarding sold sugar- and salt content. Three data driven tools were built in this project to support data driven decisions of the client: monitoring tool of sold sugar and salt content, prediction of total year end value of sold sugar and salt in tons and the identification of the driver products. The one year prediction was performed as the aggregated values of daily prediction until the end of the year, using light gradient boosting machine. The project was delivered in Databricks environment using Pyspark and presenting the result on a dashboard. |
| Supervisor | Koren, Miklos |
| Department | Economics MSc |
| Full text | https://www.etd.ceu.edu/2022/kamenar_gyongyver.pdf |
Visit the CEU Library.
© 2007-2021, Central European University