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Srni Freshers, India
$2 /hr
0 Years Exp.
0 Followers
I am not a certified professional but I've 1 year of experience in kivy and python.
Himanshu Time Limit, India
$2 /hr
1 Years Exp.
0 Followers
i am not certified neither attend any class but i can bet you to complete my job in given time.
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Applying for a data scientist job can be an intimidating task as there can be many things to take care in an interview process — right from justifying the practical knowledge to showcasing the coding skills. While we have earlier discussed articles on how to crack data science interview and what are the things to keep in mind while appearing for an interview for data science-related roles. This article deals with some of the things that you might be doing wrong if ever you are rejected in a data science interview.

 

Here are five things you may have been doing wrong:

 

Not focusing on the job description: The definition of data science jobs is not always the same and may mean different roles and responsibilities for different companies. Some of the commonly required skills may be a PhD in statistics, Excel skills, machine learning generalist, Hadoop skills, Spark skills, among others. The job description largely varies for every company and it is important to thoroughly dig it and carefully look for specific skills, tools and languages. It is important to display the skills that the potential recruiter is looking for so that they can shortlist you easily.

 

No specific distinction of technical skills: The technical skills in data science and analytics industry is quite wide and not mentioning your strengths correctly might jeopardise your chances of cracking the interview. For instance, it might not be apt to just say machine learning skills as it might include a whole spectrum of things ranging from linear regression to neural networks. And these sub-areas might further require knowledge of specific tools and software such as Python, Keras, R or Pandas. It is always advisable to give specific skills that you master than describing generic skills as might confuse recruiters of the exact skills that you pose.

 

Incorrect information and rephrasing work experience: To suit the data science job roles, many a times candidates rephrase their previous work experiences such as in the IT or software domains to present it as data science job roles, which might disguise your abilities initially but expose the depth and understanding of the skills later. You might have included job description aligning in a way that suits data science job roles but you might not have a deeper experience in it, which may get noticeable by recruiters during a one-to-one interaction. Mentioning of incorrect or misleading facts may also lead to recruiters rejecting you. For instance, the resume may state achieved an accuracy of say 90% on the test run, but what are the baseline and state-of-the-art score for this dataset to claim these numbers?

 

No mention about the projects that you have worked on from the scratch: Many times the only projects that a candidate mention in a resume are the ones they have done on Kaggle. While Kaggle is a platform for a lot of researchers to explore avenues in data science, it also serves as a source of practice for people who aren’t a pro in data science field and are trying to make a transition, mentions a recruiter in one of the forums. There are different kinds of the audience at Kaggle such as those who are playing around with the dataset or getting to know how problem-solving in data science works like, without having actual experience in solving or creating a new data science problems. So, listing just Kaggle project might be good but not definitive of how good your data science skills are. Even if it a Kaggle project, it is better if it is done from scratch. Other than that, it is important to mention the projects that you have worked on. It gives recruiters a chance to understand the problems you faced and the way you approached the problem, thereby giving them a glance at your problem-solving abilities.

 

The resume is full of buzzwords and no concrete proof of your skills: While the resume may suit the job description, but there are chances that you are rejected if there are too many buzzwords in the resume and no concrete way to prove that you actually pose those skills. You may mention in the resume that you have had experience with Hadoop, Excel or certain areas, but if you have showcased it real-time on platforms such as GitHub, it convinces the potential employers of the skills you have. They can look through various projects you have been a part of and see how you have dealt with real data. Hiring managers like to see the time that a candidate has spent from start to finish. Having a portfolio gives recruiters just that. There may be fancy sounding terms in the resume, but if you don’t have a proof to showcase it, you might be rejected for a potential data science job role.

Whenever there is a discussion regarding storing information on a 3rd party's database system, questions on security follow. Entrusting another company to stage your valuable information safe is a massive step. Once that information is in your control, you are aware of the protection measures in place to keep it safe.

 

Google assures users that it keeps all information safe and personal unless the user chooses to share files with others. As a part of its security measures, Google does not discuss its approach to security very well. Since users should have a Google account to access Google Docs, and since all accounts need passwords, we all know that at least one stage in Google's security plan depends on password protection.

 

Google Docs is the free data processing software that comes with a Google account. It’s designed to be easy to use. It can be used to create documents with rich formatting, images, and tables and features like footnotes, headers and footers, and page numbering. You can create your documents more engaging with pictures, drawing objects, and tables in Google docs.

 

Why Google Docs is the best way to create blog

If you're a professional blogger, all that you write must obviously be a result of your thorough research and will basically involve hard work. Whether it's Blogspot or WordPress, text editors of each of those blogging platforms are up to notch. Each text editors not only automatically save the post you are writing but also provide sufficient resources for content data formatting that helps you present well your content. Google Docs offers you the easiest and simplest way to format your content, provide blog templates, share it with collaborators, and even upload immediately to whichever CMS you use.

 

Integrate google keeps with google docs

Google Keep has officially been labelled as a part of the Google Suite of tools. It’s currently very easy to keep notes for a document you're working on. Along with the Explore feature, Google Docs has become a seriously impressive tool for business, education, and just about the other purpose that requires note keeping as you write. Google docs provide a tool to integrate google keep notes into document.

 

Migrate google docs to Microsoft word

Google Docs are in a web format, we can’t simply import them into Word! To open Google Docs in Microsoft Word, we need to need to convert Google Docs to Word’s DOCX format, then transfer it afterward. You can easily perform this conversion from Google Docs.

 

Google Docs has been around for a little while now. Businesses are adopting the tool as the way to extend efficiency and usability of information. I have yet to work for a business that actively uses Google Docs on a day to day, however I will definitely see the benefits of google docs.

  1. Accessibility: With Google Docs, staff can access the information 24/7 where they have an internet connection. This kind of flexibility is very useful, particularly for workers who are typically travelling and working from mobile devices.
  2. Version Control: Collaboration have a lot of importance within the workplace. Being able to not only access information from anyplace, but to be able to control the version of any document your staff are working on is a huge asset to your company. Google Docs permits you to add and take away collaborators. You can control exactly who can make changes to the document. In addition, multiple users can access and edit the same document at the same time.
  3. Easy to Learn: Google Docs is very straightforward and easy to pick up. If you have any experience with a word processor or programs such as Word, Excel, etc.
  4. Import/Export Flexibility: Google Docs imports and exports most file types, giving you the flexibility, you need when sending and receiving files from colleagues.

 

Hire Google Docs experts on Toogit.

A customer service representative talk to customers on behalf of companies and businesses. They answer customer queries, resolve customer complaints, and address emergency issues. If a customer needs help placing an order or needs to change their order, the customer service representative walks them through the correct steps. Customer service representatives will also provide additional sales or products, or sell products or services directly.

 

What Customer Service Representatives do?

Customer service representatives typically do the following:

 

  • Listen to customer’s questions and concerns, and provide answers or responses
  • Provide information about products and services
  • Take orders, calculate charges, and process billing or payments
  • Review or make changes to customer accounts
  • Handle returns or complaints
  • Record details of customer contacts and actions taken
  • Refer customers to supervisors or more experienced employees

The specific duties of customer service representatives vary by industry. For example, representatives who work in banks may answer customer’s questions about their accounts. Representatives who work for utility and telecommunication companies may help customers with service problems, such as outages. Those who work in retail stores often handle returns, process refunds, and help customers locate items. Some representatives make changes to customers' accounts, such as updating addresses or canceling orders. Although selling is not their main job, some representatives may help generate sales while providing information about a product or service.

 

How to define your Customer service project?

Your job description is the 1st touch point between your company and your new hire. With millions of people looking for jobs on so every month, an excellent description will assist you attract the most qualified candidates to your open position. To urge you started, here are some tips for making an efficient description.

 

A great job description starts with a compelling summary of the position and its role within your company. Your summary should provide an overview of your company and expectations for the position. Outline the types of activities and responsibilities required for the job so job seekers can determine if they are qualified, or if the job is a good fit.

 

Basic of customer service project description are as follow:

  1. State a brief one to two sentence overview of the project objectives.
  2. State this in one sentence so the professional understands how the work fits into the bigger picture.
  3. Be specific with requirements, such as specific software knowledge, typing speed, and language fluency.
  4. Enter a start and end date. Most independent contractor projects are project based and/or short-term. If you’re unsure of the end date, or if the work may be ongoing, you may need to consult your HR partner or other advisor to verify the worker’s classification.
  5. Independent contractor work is often paid at a fixed price. When paying hourly, you may want to specify the maximum number of hours for the project if any.

 

Sample:

We need an experience agent for a ten month project, expected to require 25 hours/week of services, from [start date] to [end date]. We’re launching a multimedia campaign that’s expected to dramatically spike call volume. You’ll work from your own location to handle product calls, take orders, and process payments.

Skill Requirements:

  • Knowledge of Zendesk and Salesforce software
  • Expertise in providing customer service via phone and live chat
  • Fluent in English and Spanish
  • Handle 10-15 calls per hour
  • Ability to upsell and cross-sell products on the phone
  • Basic knowledge of Microsoft Excel

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