JAIGANESH J

To join in a renowned institution know and enhance my knowledge and work for the growth of institution. Seasoned Sales Representative with exceptional success in business-to-business and business-to-consumer sales within multiple industries. Proven track record in exceeding sales goals, growing business and expanding territories. Accomplished in overseeing day-to-day business operations and fostering relationships with customers and clients for sustained business growth. Enthusiastic Sales and Customer Service professional with expertise in communication and negotiating. Driven to provide superior quality customer service. Innovative in leveraging extensive knowledge of products and services as well as creating solutions for customers to drive loyalty, retention and revenue. Highly adept at training, managing, coaching and mentoring sales and customer service associates with talent for interacting with staff at all levels of organization and public. Energetic Sales Representative offering demonstrated success identifying prospects and converting leads into customers. Superior communication skills, understanding of client needs and sales closing rates. Recognized for creativity and resourcefulness in meeting and exceeding sales, revenue and profit goals. Hardworking employee enthusiastic about learning Type field inside and out. Pursues opportunities to learn new skills and contribute to group success. Offers strong administrative, relationship-building and problem-solving abilities. Outside sales specialist with strength in negotiations, e-commerce and customer service. Excellent interpersonal and time management skills.

• PROJECT NAME: URL BASED PRODUCT ASPECT RANKING AND ITS APPLICATION USING SYSTEM ANALYSIS
• DURATION: 3 months
• FRONT END: .NET
• BACK END : Sql server 2008
• DESCRIPTION:
• Several consumer reviews of products are now available on the Internet
• Consumer reviews contain rich and valuable knowledge for both businesses and users
• However, the reviews are often disordered, leading to difficulties in information navigation and knowledge gaining
• This article proposes a product feature ranking framework, which automatically identifies the important Aspects of products from online consumer reviews, aiming at improving the usability of the various reviews
• The important product aspects are identified based on two observations: 1) The important aspects are usually commented on by a large number of consumers
• 2) Consumer opinions on the important aspects greatly inspiration their overall opinions on the product.

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