G Poonam - Always smile and enthusiasm - Visakhapatnam

G Poonam
Always Smile And Enthusiasm
Visakhapatnam, Andhra Pradesh, India
Core Java HTML5 English Language Visual Basic
GIT-Gitam Institute of Technology

About G Poonam

G Poonam is based in Visakhapatnam, India. G studied Master in Computer Application at Gitam Institute of Technology (2016-2019). On Youth4work, G has taken skill tests in Core Java (rank 3,895 of 348,020, top 2%), HTML5 (rank 1,511 of 68,462, top 3%) and English Language (rank 132,323 of 356,213, top 38%). G also lists talents in Visual Basic, PHP and CSS.

Talents

Visual Basic

... among ... users in Visakhapatnam

…

among … users worldwide
Core Java

... among ... users in Visakhapatnam

3895

among 348020 users worldwide

87.84

percentile among worldwide users
HTML5

... among ... users in Visakhapatnam

1511

among 68462 users worldwide

58.15

percentile among worldwide users
PHP

... among ... users in Visakhapatnam

…

among … users worldwide

Complete Talent Profile »

Professional Path

Online Examination System

Infinite Net Solutions Internships

May-2018 To Jun-2018 1 months

To develop user side web pages such as login, new registration,sample test,online test pages
successfully developed

» 1 Project

Recommender System in E-Commerce

Student at GIT-Gitam Institute of Technology

Jan-2019 to Apr-2019

Ecommerce, also known as Electronic Commerce or Internet commerce, refers to the buying and selling of goods or services using the internet. It also referred as sale of physical products, but it can also describe any kind of commercial transaction that is facilitated via Internet. Recommender Systems is an information filtering technique, which provides users with information that may be interested in. It is one of the most successful and widespread application of Machine Learning technologies in business. It is subclass of Information Retrieval, Data Mining and Machine Learning . The main idea behind the Recommender System for E-Commerce is to build relationship between the products (items), users (visitors/customers) and make decision to select the most appropriate product to a specific user. This system is used by the E-commerce websites to suggest products to their customers. Recommender Systems use Machine Learning algorithms such as Collaborative Filtering and Content Based Filt

Qualifications

Gitam Institute of Technology

Master in Computer Application Computer Application

2016-2019

Extra-Curricular Interests

NCC NSS

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