Pooja

Business Analyst Intern

Miles Education•  June 2024 - August 2024

Worked on a project using a company's steel dataset to create a Streamlit app and a compelling Power BI dashboard that allowed for a thorough understanding and visualization of important functionality. Achieved 95% accuracy in price predictions and 94% accuracy in product status predictions by analyzing various Metal Industry datasets. Managed null values, outliers, and noise using EDA, creating predictive models from the datasets with machine learning techniques, resulting in highly interactive outputs. Developed a user-friendly Streamlit app for the client, providing data insights, essential SQL queries, and a prediction page to forecast product price and status based on variable inputs. Designed dashboards and key performance indicators (KPIs) using Excel, Power BI to support business acumen and decision-making.