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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