Peter Waititu

I’m a detail-oriented Data Analyst and Applied Mathematician focused on turning complex data into accurate, decision-ready insights. I evaluate, structure, and analyze datasets with high precision, especially when accuracy and integrity matter.

In my recent work, I engineered and executed web scraping and data extraction pipelines to build high-quality datasets. I perform rigorous data cleaning and preprocessing to ensure consistency, accuracy, and integrity.

I also lead feature extraction and feature engineering to optimize datasets for machine learning models. Using Python libraries such as Pandas, NumPy, and Scikit-learn, I analyze patterns and build predictive models.

I communicate results clearly through data visualizations and analytical reports using Tableau, Power BI, and SQL. I’m motivated by work that connects data preparation, model evaluation, and AI training workflows like data annotation and prompt engineering.