
Job Change Analysis in Python
Preprocessing a dataset about the Job Changes of Data Scientists and applying feature engineering using supervised machine learning methods.
Below is a collection of notable projects which I have completed both alone and as a group in collaboration. It includes coding languages and tools of Python, SQL, PowerBI, Excel, Tableau, and PgAdmin.
Preprocessing a dataset about the Job Changes of Data Scientists and applying feature engineering using supervised machine learning methods.
Creation of a Database and ERD in SQL. Creating interlinking tables to analyse customers based on purchases. Using select statements and joins to gain insights into data. Making reccommendations.
Created visualisations for a global superstore dataset. Gained insights, indentified KPIs and made reccomendations for potential changes to improve the business and decrease costs.
Cleaning and segmenting a customers in a dataset using unsupervised machine learning method of k-means clustering.
Creating visualisations to compare the reaction to COvID-19. Creating interactive Map graphics, line plots, heat maps, among other visualizations.