Afrilearn

•Collaborated with the head data scientist to clean and analyze 4,000+ user data records for the Afrilearn edu-tech start-up, utilizing Microsoft Excel and Python programming language.

• Assisted in the development of a recommendation system for the platform, which resulted in an increase in user engagement.

• Improved the accuracy of user data analysis through data cleaning and preprocessing techniques.

• Presented findings and recommendations to the Afrilearn team, resulting in the implementation of new features and improvements to the platform

Data Analysis Intern

The Sparks Foundation

Data Science and Business Analytics Intern

Construction Kaiser Limited (CKL)

• Gained experience in project management by assisting the project manager with overseeing workers resulting in an increase in work efficiency.

• Demonstrated attention to detail by compiling weekly update reports for work on site resulting in a decrease in communication errors.

• Conducted site inspections and identified potential safety hazards, resulting in a reduction in workplace accidents.

• Recorded accurate minutes and action items during stakeholder meeting, ensuring clear communication and alignment between project stakeholders.

Civil Engineering Intern

Splendor is a Civil Engineering graduate (BEng) interested in Intelligent Transportation Systems (ITS) research to develop innovations to solve pressing challenges in the field of transportation engineering and to advance technology in mobility, transportation safety and environmental sustainability.

She is also a detail-oriented Data Analyst well versed in exploratory data analysis, data cleaning, wrangling and visualizations, with a zest for solving complex problems.

She possesses strong analytical, pattern recognition and data visualization skills, and is proficient in MS Excel, SQL, Python and Power BI. She is dedicated to utilizing knowledge gained through experience and training to create solutions.

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