KUDAKWASHE NDOKANGA

-Architected and delivered custom system solutions tailored to client requirements, modernizing legacy workflows and boosting operational efficiency. -Integrated and maintained RESTful APIs across business systems, streamlining data exchange and reducing manual input by 30%. -Designed and optimized relational databases (MySQL), enhancing scalability, performance, and data consistency. -Led version control and deployment processes using Git and CI/CD practices, minimizing production errors through automated testing and proactive debugging.

• Coordinate with stakeholders and leadership teams to define analytical requirements, priorities, and strategic insights. • Analyze large and complex datasets to generate actionable insights supporting business strategy and operation decisionmaking. • Design, develop, and maintain data pipelines, ETL processes, and automated reporting workflows. • Develop SQL queries, scripts, and analytical models to support reporting, forecasting, and performance analysis. • Build interactive dashboards and visualizations to monitor KPIs, trends, and business performance workflows. • Perform data cleaning, validation, and transformation to ensure high levels of data quality and integrity. • Collaborate with cross-functional teams including finance, management, product, and operations to deliver data-driven solutions. • Support data governance, documentation, and compliance efforts by maintaining accurate and consistent datasets. • Mentor team members and juniors in data analysis, reporting standards, and process optimization to improve overall team performance

• Develop and maintain scalable full-stack web applications with a strong focus on backend architecture, REST APIs, database design, authentication, and performance optimization using Python, Django, Flask, FastAPI, React, SQL and NoSQL technologies. • Build secure and maintainable backend systems, integrating third-party services and machine learning through frameworks like Tensorflow, automating workflows, and optimizing data processing pipelines for reliability and scalability. • Implement scalable database structures, query optimization, and backend processing solutions to support high-performance applications and growing datasets. • Manage code repositories using Git, supporting collaborative development, feature branching, issue resolution, and continuous integration workflows. • Manage application debugging, testing, optimization, and production support across multiple projects and environments. • Contribute to the complete software development lifecycle including system design, development, deployment, maintenance, and continuous improvement of applications.