Jongikhaya Ngodwane

Data Scientist skilled in Python, SQL, and machine learning. Experienced in EDA, predictive modeling, and visualization, with a strong interest in applying data to solve business problems

Results-driven Data Scientist and Analyst with hands-on experience in Python, SQL, and machine learning, specializing in exploratory data analysis (EDA), predictive modeling, and data visualization for business decision support. Skilled in designing and deploying analytical solutions that uncover insights, improve operational performance, and drive data-informed strategies.

Proficient in tools such as Pandas, NumPy, Scikit-learn, Matplotlib, and AWS Athena. Experienced in building end-to-end ML pipelines, analyzing customer behavior, forecasting sales and churn, and translating findings into actionable recommendations. Adept at collaborating with business and engineering teams to transform raw data into measurable business outcomes.

Bachelor of Science (BSc) in Statistics — focused on quantitative analysis, programming, and applied machine learning. Coursework included statistical modeling, data visualization and predictive analytics, providing a strong foundation in both theoretical and practical aspects of data science.

Additional learning through online certifications and applied projects in Python, SQL, and cloud-based analytics (AWS / Azure)