Jimson

Mwangi

I specialized in data cleaning, preprocessing, and exploratory analysis to support AI model training and evaluation. My work involved mining and transforming large datasets from multiple sources, ensuring data accuracy, consistency, and usability. I used Python, R, and Excel to perform statistical analysis, generate insights, and prepare well-structured datasets for modeling. The role required strong attention to detail, problem-solving skills, and the ability to work with complex, unstructured data under tight deadlines. Key Achievements Processed and cleaned large datasets, removing duplicates, handling missing values, and ensuring consistent formats, improving overall dataset quality by over 95%. Developed automated Python scripts to streamline repetitive data preparation tasks, reducing processing time by up to 30%. Conducted exploratory data analysis (EDA) using Python (Pandas, Matplotlib, Seaborn) and R to uncover patterns, trends, and anomalies.