Charlize Ndlovu

I’m an aspiring Junior Data Analyst and final-year BSc Information Technology student, driven by the idea that analytics should be clear, practical, and built for real users. I focus on turning raw datasets into meaningful insights through data cleaning, visualization, and analytical storytelling.

I’ve built interactive, user-friendly data products using Python, SQL, and Streamlit—including an interactive dashboard where users can upload and analyze datasets in real time. I used Pandas for cleaning, transformation, and aggregation, and I deployed tools via Streamlit Cloud while maintaining version control with Git and GitHub.

I also created an EDA visualization tool that generates histograms, boxplots, and scatterplots from user-uploaded CSV files, using Matplotlib and Seaborn to help uncover patterns quickly. To push beyond traditional analytics, I developed a Bible-based sentiment analyzer using NLP and NLTK’s SentimentIntensityAnalyzer, including text preprocessing and sentence-level sentiment scoring with an interactive Streamlit interface.

Outside of projects, I’ve developed an analytics mindset through market and customer-focused experience—researching trends, analyzing engagement metrics, and improving performance through data-informed decisions. I’m now looking to grow in business intelligence and data analysis roles where I can help teams make informed decisions with reliable, understandable insights.