communicate data insights effectively. 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy
source, extract, collate, clean and redesign relevant data; queries, cleans & mines large data sets;
design
KPAs:
design
KPAs:
incidents), Information, Clean-up, Importation and Clean-up (Facilitation of data clean-up, Importation of
fundamentals The commitment to building software using clean code and industry best practices Proficiency and will put your CV on file and contact you regarding any future vacancies that arise. See Description See
Good Quality Code:
Good Quality Code: