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Do some Excel Work

₹600-1500 INR

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已发布超过 7 年前

₹600-1500 INR

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We have data(Tweets) in form of Excel [login to view URL] have to Classify these tweets For example @somebankname i am looking for a credit card or home loan It comes Under the classification LEAD+REQUEST. There may be multiple classification if needed. Classification Definitions Request:- It is a question asked by the user to the Bank and asked query is required to be fulfilled by the bank. Complain:- A particular service that is not accessible to a particular user but otherwise accessible to all. e.g. Some Unacceptable service(like unsatisfactory customer care,No call pickup) Delay in time to complete any kind of Service(like complain) Lead:- Lead is a request that is beneficial for the bank (largely in terms of money/business). Like providing Credit card or loan to a user. Suggestion:- Suggestion is, when a user asked for a service, which is unavailable in general. E.g. “I like to see a new branch opening” or an actual bug (or a required improvement) in the banking application. Compliment:- Appreciation from the user to the bank. Miscellaneous:-Those tweets which are meaningless or we unable to classify. Important point :- you have to classify these tweets as per bank.
项目 ID: 12082570

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远程项目
活跃7 年前

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Dear Sir / Madam, I'm really interested on your project.I have 10 Years experience in IT including System Administration, IT Management and Data entry.I have many IT certifications such as BCS (British Computer Society) Certifications.. My Qualifications are mentioned bellow for your reference. I really looking forward to join with this project. Thank You. Madushan Liyanage skype - [login to view URL] Linkedin - [login to view URL] mobile - 0094773753113 (Msc IT, BCS-PGD, MBCS,CCNA,MCSE,MCITP)
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Hi I am a computer engineer + MBA finance. I have served in a bank for about 4 and a half years. Can easily discriminate between lead , complaint and miscellaneous at faster pace. Here right now for good reviews . so that can build on my work gradually
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INDIA的国旗
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会员自11月 15, 2016起

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