Thabo Mailula

I am a Data Analyst who helps businesses turn messy data into clear and useful insights. I focus on solving real problems by making data accurate, structured, and easy to use for decision-making.

In my current role, the company had large amounts of data in Excel and CSV files, with over 21 million rows. Reporting was slow and unreliable. I took initiative to solve this by building an ETL process using Python. I cleaned and transformed the data, removed errors, and standardised it. I also converted the data into Parquet format to improve performance.

I then loaded the data into SQL Server and organised it using a star schema. This improved query performance and made the data easier to use. To solve slow reporting in Power BI, I created aggregated datasets instead of using raw data. This reduced refresh time and made dashboards faster and more reliable.

I build Power BI dashboards that focus on key business metrics like revenue, growth, and performance trends. I make sure dashboards are simple, clear, and easy to understand so that business users can quickly make decisions. I also work closely with stakeholders to understand their needs and turn their questions into data insights.

I take data quality seriously. I check for duplicates, missing values, and errors, and I validate data with business reports to ensure accuracy. This helps the business trust the data and use it with confidence.

I am also growing my skills in data science and AI, and I enjoy learning new tools that can improve how businesses use data. My goal is to continue helping organisations solve problems, improve performance, and make better decisions using data.