Ritah Nthenya

Developed skills in data manipulation and analysis using Python, SQL, and PowerBI. Gained proficiency in machine learning algorithms, including predictive modeling and classification techniques. Enhanced abilities in data preprocessing and cleaning to ensure high-quality inputs for analysis. Designed and implemented data pipelines for efficient data processing and model training. Applied data visualization tools such as PowerBI to effectively communicate insights and findings. Worked on several projects applying the skills and tools learned, including building predictive models and analyzing complex datasets. Gained practical experience in developing and evaluating models, and deriving actionable insights from data.

Optimized procurement, inventory, and delivery operations, leading to a 20% increase in overall operational efficiency. Implemented quality control measures, reducing product defects by 15% and maintaining consistent product standards. Developed customer retention strategies, contributing to a 25% increase in customer loyalty and a 10% rise in sales revenue.

Conducted comprehensive image and video annotation processes, improving data categorization and enabling nuanced analysis. Executed data migration across various databases, increasing process efficiency and data accuracy by 15%. Transcribed and verified data entries, contributing to a 20% improvement in data integrity and reliability.