Data Analyst & Aspiring Data Engineer passionate about building analytics solutions, automated reporting systems, ETL pipelines, and dashboards that support evidence-based decision-making.
Skilled in SQL, Python, Power BI, Looker Studio, Tableau, and cloud-based data workflows.
I combine software development knowledge with practical analytics and reporting experience to create reliable, scalable, and actionable data systems.
I am a data professional with experience in data analytics, reporting automation, and structured data validation. I build dashboards and analytics workflows that support operational and executive-level decision-making.
My focus is on ETL workflows, reporting automation, analytics-ready datasets, and cloud-oriented data systems. I enjoy transforming raw data into meaningful insights.
I am seeking opportunities to continue growing in data engineering and analytics, particularly in roles involving scalable cloud data infrastructure and business intelligence solutions.
Technical skills, education, and professional experience highlights.
BSc. Software Development
KCA University
2018 – 2023
Selected analytics and data projects demonstrating dashboarding, data cleaning, visualization, and business insight generation.
Interactive dashboard analyzing bursary allocations, ward-level distribution, school allocations, and beneficiary trends to support transparency and data-driven planning.
Tools: Excel, Looker Studio
Workforce analytics dashboard evaluating employee attrition, departmental distribution, and tenure trends to support HR decision-making.
Tools: Tableau
Python exploratory data analysis project identifying release trends, genre dominance, and production distribution patterns using structured data cleaning and visualization.
Tools: Python, Pandas, Matplotlib
Machine learning project involving feature engineering, preprocessing, and classification modeling to identify survival predictors and evaluate model performance.
Tools: Python, Scikit-learn
Open to analytics, reporting, business intelligence, and data engineering opportunities.