I’m an IT expert with extensive experience in Kenya’s telecommunications industry, having worked with top companies like Safaricom, Airtel, Telkom Kenya, and Zuku. My skills include data entry, data labeling, data annotation, and programming in Python and Java, all of which have helped improve efficiency and create innovative solutions in telecom.
I specialize in managing large datasets, ensuring they are entered, organized, and ready for analysis or machine learning. My expertise in data labeling and annotation supports AI and machine learning projects, helping telecom companies gain better insights and make more accurate predictions. I also use Python and Java to automate tasks, develop software applications, and build scalable solutions for the telecom industry. Python helps with automation and data analysis, while Java is used to build robust applications.
Throughout my career, I have contributed to projects at major telecom companies. At safaricom, I helped automate reporting with Python and improved customer analytics tools. At Airtel I worked on data labeling for machine learning to optimize network performance and customer service, and built tools to streamline billing. At Telkom Kenya I developed applications to monitor network performance and reduce downtime, while ensuring accurate data entry. At Zuku, I built software to track network performance and improve broadband service management.
Some of my key achievements include developing automation scripts that cut operational workloads by 30% at Safaricom and Airtel, improving data accuracy by 20% at Telkom Kenya, and helping create an AI-powered predictive maintenance system at Airtel. I also built scalable applications for Airtel and Zuku, enabling them to efficiently manage growing customer bases.