Ayesha Nizam

Results-driven professional with experience at Retail Business Services, enhancing inventory planning accuracy by 10% through advanced data analysis and forecasting. Proficient in Microsoft Excel and effective communication, I leverage insights to optimize supply chain workflows and drive sales performance, ensuring exceptional customer experiences and achieving team goals. Detail-oriented business analyst with several years of experience conducting analysis and research to come up with solutions to common business problems. Polished in formulating business improvement strategies and overseeing new technology and system implementation. Commercially-aware professional with in-depth knowledge of computing systems and project management techniques.

• Merit Scholarship UMBC (Heritage scholar)
• Academic Excellence Scholarship, UMBC (2023)

Inventory Optimization Project, UMBC, 09/23, 12/23, Led a team of three students in analyzing retail inventory data to identify inefficiencies and develop a predictive model to optimize stock levels. Presented findings to professors and peers, resulting in a 15% reduction in overstock and understock scenarios. Sales Forecasting Model, UMBC, 03/24, 05/24, Created a forecasting model using Excel and Python to predict quarterly sales for a simulated business, achieving a forecast accuracy rate of 92%. Utilized historical sales data and external factors like seasonal trends to inform predictions, presenting results to a panel of business professors.

Volunteer, UMBC Career Center, 09/23, Present, Assist students with resume reviews and mock interview preparation, gaining insight into career development and professional communication.

Citizenship: US Citizen