Gladness Ndlovu

Conduct comprehensive economic and market data analysis for SMEs using SPSS, STATA, and R, providing actionable insights to inform strategic decision-making. Develop and implement predictive models and forecasting tools to optimize resource allocation and operational efficiency. Lead the creation of interactive data visualization dashboards and reporting systems, improving transparency and project monitoring for stakeholders. Automate data collection and cleaning processes using Python and R, enhancing accuracy and efficiency of analyses. Produce reports, and presentations, demonstrating strong skills in technical writing, document formatting, and professional communication.

Developed a stock expiry tracking database to monitor product shelf life and inventory turnover, reducing losses from expired goods by 21%. Designed a system to track fast-moving vs slow moving goods, improving restocking decisions and reducing storage costs. Conducted consumer analysis to determine customer preferences, resulting in improved product selection and increased sales. Created a monthly shrinkage report identifying high risk items, which led to implementing better security and reducing losses. Regularly monitored inventory movement, performed ad hoc checks, and reported stock variances. Ensured stock levels met demand while maintaining competitive pricing strategies.

Built a time-series forecasting model to predict monthly sales, enabling the client to plan inventory and reduce stockouts. Conducted targeted market research for multiple companies, resulting in problem identification and sales growth through actionable recommendations. Automated repetitive data cleaning processes using Python or R scripts, reducing analysis time. Designed and implemented data gathering methods using digital tools such as GIS and Survey Monkey.