Wandeta Sichilima

• Quickly reset and cleaned up tables after customers left to enable speedy turnaround and guest flow.
• Answered customers' questions, recommended items, and recorded order information.
• Cultivated warm relationships with regular customers.
• Maintained clean and organized dining areas for optimal guest experience.
• Managed multiple tables simultaneously while maintaining high levels of accuracy on order placement and delivery.
• Collaborated with kitchen staff to ensure timely delivery of orders, resulting in positive feedback from guests.

• Cleaned counters, machines, utensils, and seating areas daily.
• Maintained a clean and organized workspace for optimal productivity and safety.
• Promoted a welcoming atmosphere by greeting customers with a friendly demeanor and promptly addressing their needs.
• Listened carefully to customer requests and created personalized, delicious beverages, which improved sales.

Data Preprocessing:

• Cleaned out the secondary data using R software like handling missing values, negative values and one hot encoding
• Track the trends
• Provided Databases and statistics

Exploratory Data Analysis (EDA):

• Scatter plots, histograms, box plots, and bar plots
• Calculating skewness values to assess the distributional properties.

Statistical Analysis and Modeling:

• Regression Models

Software and Tools:

• R Programming Language
• Libraries: Various R libraries, including dplyr, ggplot2, moments, and others, were learned to use for data utilization and manipulation

Job Responsibilities

• Cleaned out the secondary data on the quarterly labour force, provided by Stats SA using R software
• Tracked the trends on education and employment and unemployment for the youth from ages 22-25 over the past 10 years
• Provided Data bases and statistics required by SAGEA on causes about education and employment and unemployment in South Africa amongst the youth. Presented solutions and ideas for the youth in high school on routes and subjects to take and what career fields to look out for, to guarantee them a better percentage chance of finding employment.