Nephy Ndwiga

Analyzed learning and development data to track training participation, completion rates, and engagement across teams
Developed structured reports and dashboards to support data-driven decisions in people development and talent growth
Cleaned, validated, and organized HR learning datasets to improve reporting accuracy and insight quality

Applied structured analysis frameworks and AI prompting to define client research questions for the global audio market
Designed and deployed automated surveys (Google Forms + chatbots), achieving a 78% response rate from Gen Z respondents
Analyzed qualitative and quantitative survey data in Google Sheets, delivering actionable insights on Gen Z audio preferences

Analyzed 10,000+ customer profiles, identifying churn patterns and reducing churn risk by 15%
Built Power BI dashboards and optimized CRM + SQL data processes improving refresh time by 25%
Presented analytical insights to business teams, supporting customer retention decisions

Improved scouting accuracy by 32% by developing ML models analyzing 200+ athlete datasets using Python and Scikit-learn
Automated preprocessing and feature engineering pipelines, reducing data preparation time by 40%
Built interactive Power BI and Matplotlib dashboards to enable data-driven scouting and recruitment decisions

Automated CI/CD pipelines reducing deployment time by 30%
Executed chaos engineering, resolving 15+ vulnerabilities to improve system reliability