I'm a Data & BI Analyst based in Johannesburg, South Africa, with experience in market research, business intelligence, and data-driven reporting. I recently completed the IBM Data Analyst Professional Certificate (via edX, in partnership with IBM), where I built on my skills in data analysis and visualization.

At Xylem Water Solutions, I've maintained and improved Power BI dashboards for mine mapping and market tracking, and helped grow market coverage from 11% to 27% over 18 months through better data-driven targeting. Earlier, as a Geology Research Intern at CSIR, I worked with large mining datasets and contributed to technical reporting.

I enjoy turning raw, messy data into dashboards and insights that support real decisions, and I'm continuing to build my skills in Python and applied data science through personal projects.

• Languages: Python (pandas, NumPy), SQL (T-SQL)
• Visualization / BI: Power BI, Tableau Excel (VLOOKUP, INDEX/MATCH), Google Sheets
• Databases: SQL Server, PostgreSQL
• Other: GitHub, Git

• Credit Risk Prediction App — A Streamlit web app that predicts loan applicant credit risk (good/bad) using a trained ExtraTrees classifier on the German Credit Risk dataset.

  Try my Credit Risk Prediction App HERE!

• Customer Trends Data Analysis — Practical analytics project using SQL, Python, and Power BI on real-world data.
• Credit Card Fraud Risk Analysis — Power BI analysis exploring fraud risk patterns in credit card transaction data.
• Excel End-to-End Analysis: Dashboard — End-to-End Excel Analysis Dashboard to identify which customer segments were most likely to buy, so the marketing team could stop guessing and start targeting.

• IBM Data Analyst Proffesional Certificate
• Power Bi Certificate - Udemy
• B.Sc. Honours in Mining Geology, University of Limpopo (2021)
• B.Sc. in Geology, University of Limpopo (2019)