Maurice Njoroge

• Conducted comprehensive data audits, identifying opportunities for process optimization and data quality improvement, resulting in enhanced data accuracy and trust among stakeholders
• Collaborated with cross-functional teams to identify opportunities for data monetization and new revenue streams, driving business growth and diversification for clients in the financial services sector
• Streamlined data processing workflows, reducing data processing time by 30% and enabling faster decision-making
• Implemented a data analytics solution that resulted in a 20% increase in revenue
• Implemented automated data cleansing processes, reducing data entry errors by 90% and improving data accuracy
• Played a key role in building strong client relationships and driving customer satisfaction through proactive communication, responsiveness to client needs, and the delivery of high-quality data consulting services that exceed expectations.

Assisted in designing and building scalable software applications, integrating user-friendly interfaces to support data pipelines and model deployment workflows.
Implemented CI/CD pipelines using Jenkins and GitHub Actions, enhancing the efficiency of machine learning model integration into production environments by 30%.
Utilized Docker for containerizing applications and ML models, ensuring reproducibility and seamless deployment across different environments.
Developed robust monitoring systems using Prometheus and Grafana to track ML model performance metrics and operational stability, leading to a 20% decrease in model downtime.
Worked closely with data scientists to translate machine learning model requirements into deployable code, enhancing cross-functional teamwork.