I am a bright and talented data engineer, with great organizational skills and a great eye for detail. With extensive experience collaborating across teams, I excel at devising innovative solutions and uncovering insights that support organizational growth. My solid foundation in data modeling, ETL processes, and advanced SQL, coupled with expertise in mathematical, statistical, and programming techniques, allows me to design and maintain efficient data pipelines that drive predictive analysis and business intelligence.
Adaptable and a quick learner, I effectively navigate new tools and methodologies, ensuring data quality, and upholding data governance standards. Known for clear, effective communication, I make complex data insights accessible to both technical and non-technical stakeholders, empowering informed decision-making across the organization.
• Deploying of data science models.
• Identify, analyze and interpret trends or patterns in complex data sets using statistical techniques and provide reports. Acquire data from primary or secondary data sources, maintain databases/data systems, and apply ETL procedures to normalize data.
• Gather information from business users to understand their detailed requirements and expectations, analyze business/use case requirements from BI analysts to determine operational problems, define data modelling requirements, gather and validate information, apply judgement and statistical tests and develop data structures to support the generation of business insights and strategy.
• Carry out analysis of requirements and recommend solutions to address user requirements. Manage the queue of requests and communicate to the appropriate advanced analytics, BI or data management functions.
• Assist in preparing system definition/specification by the users highlighting technical requirements and roll out BI Solutions to stakeholders. Assist in developing and implementing a program of continuous improvement of BI processes through a cycle of analysis of existing systems, processes and tools, identifying areas for improvement, implement high impact changes and get feedback from stakeholders. Make changes to system/database configurations and parameters to accommodate business and technological requirements.
• Build visualizations to summarize and make presentations to business and other key stakeholders. Filter, clean data and review reports, print outs and performance indicators to locate and correct code problems. Secure BI solutions by putting adequate controls and restrict access to programs by users in accordance to the requirements of the organization.
• Understand Key Performance Measures and Indicators that drive company performance measurement and reporting as well as analytics across functions and understand how these metrics and measures align and track against overall business strategies, goals and objectives.
• Guide the business in drawing report formats & wireframes and advice on the best approach to transform data and automate reports as well as Design and code reports/dashboards according to user specification with the key objective to deliver reports that will assist in decision-making and control.
• Develop and maintain documentation/manuals on system configuration or set up, carry out technical user training as required to enable users interpret BI reports as well as deal with data, dashboards and report queries from users and resolve or advise them accordingly.
1.Ms. Margaret Wanjiru Pere, Manager Corporate Data Office, Kenya Revenue Authority,
Email Address:Margaret.pere@kra.go.ke
Telephone No:0720484164
2.Mr. Peter Karenju, CEO, Tapis Handyman and Cleaning Services,
Email Address:pmkarenju@gmail.com,
Telephone No : 0722664121
3. Ms. Ann Kamau, HR and Admin Assistant, East African Cables,
Email Address: AnneKamau@eacable.com,
Telephone No: 0722202125