Transforming raw data into actionable insights through statistical analysis, machine learning, and compelling visualizations.
Based in Zimbabwe | BCom Data Science and Informatics
I'm a versatile Data professional with a Bachelor’s Degree (Honors) in Data Science and Informatics and a proven track record as a software developer. Expert in bridging the gap between complex data theory and scalable, real-world production systems. Highly skilled in Python, SQL, and Machine Learning, with a focus on translating raw production data into actionable business intelligence. Experienced in building data-driven systems and collaborating across teams to support high-level decision-making through structured analysis and predictive modeling.
Built predictive models using Random Forest and XGBoost to identify at-risk customers with 92% accuracy.
Interactive Tableau dashboard tracking KPIs, sales trends, and regional performance for retail chain.
ARIMA and LSTM models for financial time series prediction with comparative performance analysis.
Built APIs and backend services that integrate data storage, processing, and consumption. Designed and implemented data-driven applications supporting analytics and decision-making
Supported data-driven features by querying and analyzing relational databases. Gained hands-on experience working with structured datasets in production environments.
Assisted with data inspection, debugging, and validation during application testing. Participated in Agile ceremonies and collaborative problem-solving sessions.