Danielle Clifton is seeking professional business experience and opportunities. She graduated from Neumann University in 2015 with a Bachelor's degree in Business Administration and was on the Dean's List for two semesters. Currently she works as the Department Manager at Wal-Mart Stores, Inc. where she oversees inventory, stocking, and delegating tasks to optimize productivity. Previously she worked as an Electronics Sales Associate at Wal-Mart for over 7 years where she provided excellent customer service and recommendations to increase satisfaction. Her technology skills include Microsoft Office, HTML, Photoshop, social media, and research.

1. Danielle Clifton 1013 Leiper Street,Eddystone, PA 19022
484-716-7132 ● danielle.n.clifton89@gmail.com
Professional summary
Highly motivated, hard-working individual seeking professional business experience and
opportunities. A detail-oriented team player with great time-management and problem-solving
skills.
Education
Neumann University Aston, PA
Bachelor ofScience in Business Administration May 2015
Honors
Dean’s List: 2 semesters (Fall 2013, Spring 2015)
Presidential Scholarship
Experience
Department Manager,Wal-Mart Stores,Inc., Eddystone, PA April 2015-present
 Order, manage, and restock products, using proper inventory procedures
 Rotate stock and send back damages to provide utmost quality goods
 Delegate tasks to associates to optimize productivity
 Keep department clean and orderly
Electronics Sales Associate,Wal-Mart Stores,Inc., Eddystone, PA April 2007-April 2015
 Understand and consistently recommend favored electronic products
 Greatly heighten consumer satisfaction by focusing on their personal needs
 Excel under pressure by courteously servicing high volumes of customers, who may have
demanding, time-consuming needs
 Follow all directions quickly yet precisely, increasing dependability and generating supervisors’
respect
Technology Skills
 Microsoft Word, Excel, PowerPoint
 HTML
 Adobe Photoshop
 Social Media: Facebook, Twitter
 internet and database research