Mamadu Jalloh

• Utilized Python and SQL to assess store performance and customer behavior.
• Presented actionable insights that informed strategic decisions on store layout and product placement.

• Conducted research on renewable energy for aerospace applications, recommending sustainable fuel solutions.
• Analyzed turbofan engine parameters to optimize designs for a projected 10% fuel efficiency improvement.
• Delivered a technical presentation on propulsion limitations and opportunities for engine development.

Completed an intensive, project-based data science program covering Python, machine learning, SQL, data visualization, and business analytics. Developed hands-on expertise in data preprocessing, feature engineering, model evaluation, and deployment. Built end-to-end machine learning projects, including telecom client churn prediction, time series forecasting, and AB testing analysis.