Senegal
Junior Data Scientist / Data Analyst with a focus on data analysis, predictive modeling, and data visualization, with a particular interest in public health and climate-related data. I work with data to extract insights, build analytical and predictive models, and develop visual tools that support data-driven decision-making. Core skills: - Data analysis & KPI monitoring - Predictive modeling and machine learning - Data visualization & interactive dashboards - Epidemiological and climate data analysis I developed an epidemiological surveillance system for malaria and dengue in Senegal, integrating climate data, regional indicators, and interactive visualizations to support public health monitoring and decision-making. My work combines data analysis, statistical exploration, and introductory machine learning, allowing me to contribute both to Data Analyst and Junior Data Scientist roles. Open to opportunities: Junior Data Scientist or Data Analyst positions, internships, and data-related roles in public health, NGOs, research, and impact-driven organizations.
Collected, cleaned and structured datasets from multiple sources to ensure data quality and usability for analysis. Conducted exploratory data analysis (EDA) to identify patterns, trends and anomalies in datasets. Used Python, Excel and SQL to process and analyze data efficiently. Created data visualizations and reports to communicate insights and support decision-making. Assisted in the development of data-driven approaches to improve operational or analytical processes. Collaborated with team members to translate operational questions into data analysis tasks.