Position: Data Scientist
Category: Python
English level: upper
Years of experience: 2


Developed an ML model based on bakery product sales over the past couple of years (sales data from MsSQL DB), creating a forecast in the context of the day of the week. With further recalculation of the maximum production load among working hours from 8 am to 8 pm. The project used such libraries for data science as pandas, numpy (for filtering) statsmodels, sklearn, pmdarima (modeling): in addition, a docker container was configured that served as a connector between the MsSQL DB and the model itself. The data was downloaded, filtered and cleaned of outliers, a forecast was made for each specific shod_id and product_id and then uploaded to the MsSQl DB