Kwenadi Letsoalo
Data Analyst | Data Science | Research
Based in Johanesburg, South Africa
About
Data Analyst with experience in analytics, forecasting, and machine learning, combining strong technical capability with a broad research background. Proficient in Python, SQL, Power BI, and Excel, with hands-on project experience across predictive modelling, NLP, sentiment analysis, recommendation systems, and business reporting. My background in Anthropology, Data Science, and ongoing Applied Mathematics and Statistics studies gives me a well-rounded approach to analysing data, identifying patterns, and translating insights into practical business value.
Skills
Projects
Experience
2021-2022
Field Data Collection(Supervisor)
▪ Assisted in training fieldworkers for data collection. ▪ Provided administrative, logistics, and technical support to fieldworkers during data collection. ▪ Monitored and tracked fieldworkers' daily progress. ▪ Assisted with stakeholder engagement, including civil society, local government, and estate managers.
2023-2023
Graduate Internship
- Oversaw data capture conducted by field workers. - Provided dedicated training to fieldworkers. - Assisted in various data analytics tasks, including data cleansing, exploratory analysis, and creating insightful data visualisations.
2024-Present
Data Analyst
As a Data Analyst at Aramex SA, I support decision-making by creating dashboards and reports that help teams track performance and identify areas for improvement. A key part of my job is automating business processes to streamline reporting and enhance overall efficiency. I also apply predictive modeling when needed to uncover trends and provide forecasts that drive more effective operations. Collaboration is a key part of my role, and I work closely with other teams to ensure insights are clear, relevant, and actionable.
Education
2018-2021
BA Humanities at University of Pretoria
2022-2023
BSocSci Honours in Anthropology
2021-2022
Data Science at Explore AI Academy