Unwana Umana

I’m a Junior Data Analyst with hands-on experience in data cleaning, data validation, reporting, customer data management, and implementation support. I’m skilled in Python, SQL, Excel, Power BI, Pandas, and data visualization, and I enjoy turning messy datasets into clear, decision-ready insights.

In my projects, I’ve focused on improving data accuracy and readiness for analysis. For example, I’ve cleaned, validated, and structured raw datasets using Excel, Pandas, and SQL, then compared historical and current data to monitor changes in user behavior, transaction frequency, and engagement patterns.

I also build analytics that connect data to real outcomes—especially through Exploratory Data Analysis and Natural Language Processing. I’ve used TextBlob and Python to classify community sentiment (positive, negative, neutral), created visualizations to communicate trends, and prepared structured summaries to support reporting and stakeholder communication.

Across roles, I’ve supported operational decisions by maintaining accurate records and strengthening data quality. From managing laboratory data in LIMS during my Graduate Intern position to maintaining CRM records and building Excel-based reports, I bring a practical, accuracy-first mindset. I’m now interested in supporting accurate data migration, system implementation, and data-driven decision-making in education, healthcare, and public-facing organizations.