Available to hire
Hi, I’m Gladness Ndlovu, a data scientist based in Bulawayo with 4+ years of experience applying statistical and data science methods to solve business and operational problems across public and private sectors.
I excel in Python, R, SPSS, STATA, SQL, and Tableau to build predictive models, dashboards, and data-driven decision support. I have a track record of delivering actionable insights and improving efficiency.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Advanced
North Ndebele
Fluent
Shona
Advanced
Tswana
Intermediate
German
Beginner
Work Experience
Data Scientist at River World Consultancy
August 1, 2021 - February 1, 2023Built 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.
Economic Development Attaché (Data Analytics) at Bulawayo City Council
December 1, 2020 - December 1, 2021Spearheaded the development of the Bulawayo City Council Project Management Dashboard, improving visibility and monitoring of all major city projects. Served as the lead presenter when pitching the dashboard to the Town Clerk, leading to its adoption as a monitoring tool and contributing to a 37.2% increase in project completion rates through improved tracking and accountability. Developed a Local Empowerment Model in collaboration with a student team. Contributed to planning and hosting the ZITF exhibition, where the council won first place for Best Exhibition. Conducted investment and financial analysis using Excel, SPSS, STATA, and R. Encouraged sustainable business practices to achieve SMART city status.
Stock Controller at Nglamla Supermaket
February 1, 2023 - July 31, 2023Developed 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.
Data Analyst at Self
August 1, 2023 - PresentConduct 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.
Education
Master of Science in Big Data Analytics at Chinhoyi University of Science and Technology
January 17, 2026 - December 8, 2027Bachelor of Science Honors in Operations Research and Statistics at National University of Science and Technology
January 1, 2018 - January 1, 2022Data and processing in computing at The Open University
September 1, 2023 - September 30, 2023Introduction to Programing with Python at Alison
September 3, 2023 - September 30, 2023Office 365 for end users at Allison
September 1, 2022 - September 21, 2022Qualifications
Office Practice Certificate
January 8, 2016 - November 24, 2017Industry Experience
Software & Internet, Professional Services, Government
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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