Post Job Free
Sign in

Project Computer Science

Location:
Greensboro, NC
Posted:
April 01, 2018

Contact this candidate

Resume:

Summary

Result-driven and experienced in managing resources. A savvy team player and leader with outstanding communication skills with the ability to relate to and work with diverse people. Excels at building consensus among internal and external business partners.

Experience

REMEZY (2012-2014)

Responsibilities:

Invoice maintenance

Procurement of raw materials

Experience in Inventory Management System

Experience in packaging, labelling and shipping

Education Qualifications

MBA 2012-2014 – 78%

Bachelor in Engineering (Computer Science) 2008-2012 - 62%

MBA Project I

TITLE: TO STUDY THE QUALITY OF SERVICES PROVIDED TO B2B BUSINESS

The project report entitled “A study on quality of services provided to their clients with special reference to B2B business” is intended to know the quality of services provided to the clients.

The study has been conducted by adopting Survey method with help of questionnaire. The sample size taken for the study is 100.

The responses given by the respondents were analysed using different types of statistical tools like percentage analysis, rank correlation analysis, Chi-square test and weighted average method and correlation.

The study provides some findings that were inferred from the analysis of the collected data. The suggestions and recommendations given by can be used by the company in the future to build a competitive strategy.

MBA Project II

TITLE: BRAND AWARENESS, CUSTOMER EXPECTATION ON SERVICE AND BUYING BEHAVIOUR

The project report entitled “A study on brand awareness and customer perception at Royal Enfield” is intended to know the brand awareness and customer perception.

The study has been conducted by adopting Survey method with help of questionnaire. The sample size taken for the study is 50.

The responses given by the respondents were analysed using different types of statistical tools like percentage analysis, rank correlation analysis, Chi- square test and weighted average.

The study provides some findings that were inferred from the analysis of the collected data. The suggestions and recommendations given by can be used by the company in the future to build a competitive strategy.

B.E. Final Year Computer Science Project

TITLE: FAST CONVERGENCE IN CLASSIFICATION BY CLUSTERING OF ANTS

Ant Colony Optimization can be applied to the data mining field to extract rule based classifiers. In this project, we would like to explore the capability of ant colony in classifying the datasets based on rule- based approach. In the existing ant colony optimization techniques, the pheromone value is updated with the path of the best ant. In this project, we introduce a new technique called clustering of ant colony optimization; we introduce a new algorithm called Ant Miner++, which explains the clustering technique, with each cluster having a cluster head. The cluster head ants are used to update the pheromone of the path traversed by this representation of ants in each cluster. This approach will speed up the convergence rate of ants and colony optimization technique in classifying the datasets.



Contact this candidate