A data professional passionate about transforming complex datasets into actionable insights. I specialize in data analysis, machine learning, and cloud-based data solutions, helping organizations make smarter, data-driven decisions
Programming: Python, R, SQL
Machine Learning: Regression, Classification, NLP, Recommender Systems
Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
Cloud & Big Data: AWS, Azure, Snowflake
Soft Skills: Problem-solving, Collaboration, Data storytelling
My journey began with a curiosity for numbers and patterns, which led me to pursue a degree in Information Technology at Chinhoyi University of Technology. Since then, I've built enterprise database systems, automated ETL pipelines, and business intelligence dashboards across humanitarian, public health, and now aerospace analytics settings. Along the way, I've developed a strong foundation in Python, SQL, Power BI, and Tableau, along with cloud data infrastructure on AWS. I'm currently completing my MS in Business Analytics at Hult International Business School in Boston, while working as a Business & Technical Operations Analyst at Astrum Drive Technologies, where I build investor intelligence frameworks and market analytics for the aerospace and defense-tech sector. Each role has sharpened the same core skill: turning raw, often messy data into insights that leadership can trust and act on.
To harness the power of data and AI to create transparent, efficient, and fair solutions that address real-world challenges, improve lives, and promote sustainability
Transparency – Using data to make processes, decisions, and insights clear and understandable.
Efficiency – Leveraging analytics and AI to optimize systems and workflows for better outcomes.
Impact – Applying data science to solve real-world challenges, such as healthcare or sustainability.
Innovation – Continuously exploring new tools, techniques, and approaches to improve solutions.
I’ve developed a sales forecasting model that improved prediction accuracy by 25%, created an interactive Power BI dashboard used by management for decision-making, and designed ETL workflows that streamlined data ingestion for a financial analytics system.
To provide management with a dynamic, easy-to-use tool to monitor key business metrics, analyze trends, and make informed decisions quickly
Develop predictive models that accurately forecasts future sales, enabling better inventory management, resource allocation, and strategic planning.
To design and implement automated ETL workflows that efficiently ingest, process, and transform data from multiple sources into a centralized analytics platform
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