Tadiwanashe Mpupuni
Data Analyst Data Scientist ML Engineer
Transforming raw data into actionable insights through statistical analysis, machine learning, and compelling visualizations.
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.
Architected a centralized E-Governance portal to automate business registrations, achieving 100% paperless document submission and real-time status tracking
Transformed raw, messy data into a clean, analysis-ready format using various SQL techniques. It demonstrates comprehensive data cleaning process for housing data.
Using data cleaning, feature engineering, correlation analysis, and visualization techniques, we uncover what factors are most strongly associated with box office success.
This project is designed to demonstrate SQL skills and techniques typically used by data analysts to explore, clean, and analyze retail sales data.
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.