Yamkela Kwakwi

I live by three principles: if it's been done before, it can be learned and improved; you only truly fail when you stop trying; and a fuelled body, mind, and spirit create an edge that technology can never replace. As an MSc Data Science candidate and data professional, I bring this mindset into my work, often questioning poorly structured data, inconsistent schemas, and inefficient processes. With experience in SQL, Python, BigQuery, cloud technologies, and analytics, I am transitioning into Data Engineering, driven by the belief that in an AI-driven world, the quality of insights will always depend on the quality of the data behind them.

Junior Data Analyst - Tagmarshal

• Transform large, multi-source datasets into actionable insights that support business decisions and operational improvements.
• Build and automate ETL workflows using SQL, Python, BigQuery, and APIs to improve data reliability and reduce manual processes.
• Develop dashboards and reporting solutions that help stakeholders monitor performance and identify trends across the various departments.
• Improve data quality by identifying inconsistencies, validating sources, and strengthening data workflows.

MSc - Data Science - University of Cape Town

BMedHons - Bioinformatics - University of Cape Town (2023-01 - 2024-01)

BSc - Applied Statistics & Biochemistry - University of Cape Town (2019-01 - 2023-01)