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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.

A Java Developer is responsible for the programming and development of applications and software using the popular programming language, Java. They involved throughout the complete development life cycle of a software and websites and must be able to identify and analyze any problems or issues and be able to come up with an efficient solution. Other duties may include collating and documenting user requirements, analyzing data and quality assurance testing.

What is Java?

Java is an object-oriented language similar to C++, but with advanced and simplified features. Java is free to access and can run on all platforms. Java was initially designed to have as few implementation dependencies as possible, which led to the term “write once, run anywhere” (WORA). This means that compiled Java code can run on all platforms with no need for recompiling the code.

Java is also a statically typed language, so that it brings a much greater degree of safety and stability to its programs compared to other popular languages. This safety and stability may be a necessity for companies that need major bandwidth in their software system and apps. Java-based applications are known for their speed and scalability. Java’s efficient processing speeds are used in software, computer games, and mobile apps.

If you are a Java programmer or aspiring to be one, We would also recommend you to read our previous article about java's key to achieve success in development.

Tips for interviewing java developer

When looking for a developer to suit your needs, it can be tough to qualify candidates and the developer with the skillset you need, particularly with so many options available. To help you obtain the information you would like to make the best hiring decision, we’ve put together some top tips for interviewing for your project.

  1. Make sure they know the basics
  2. Find out which Java frameworks they can use
  3. Which development tools are familiar with?
  4. Which software development process are use?
  5. Ask them to describe the latest project they’ve worked on
  6. Review previous work

Writing a java development project description

A developer will only do as good of a job as the specifications or information they get from the client. Communication is key so your Java developer totally understands your ideas and goals. Once you post a project, you need to be able to communicate key elements so you can get the most effective estimates from the most effective developers. Before you post a project request or talk to developers, you must sit down and map out your plan. This may be done using pictures, presentations, or different kinds of documentation. For instance, you can draw your own wireframes then justify each concept in writing. Developers bidding on your project will get a more robust plan of what needs to be done and estimate time and cost much more accurately.

Sample Java Project Description

Once you know what you would like from your end product, it’s time to write your project description. You need to be concise but provide enough detail to attract top developers. You can attach documents and provide video links to your project description will help developers better understand your goals.

This sample job description will assist you for creating a job description which will attract freelancers or candidates who are qualified for the job. Feel free to revise this description to fulfill your specific project requirements.

Project Title:

Need a Java Developer for our company website

Description:

We’re looking for an expert Java developer to help us build a website for our Textile Company. This project will be to create a responsive, mobile-friendly website design. The project is based on the spring framework, so familiarity using Javascript and AngularJS is required.

The right developer will be able to provide us with the following skills and services:

Front-end and back end integration

Unit testing

Bootstrap, AngularJS

Familiarity with API Creation

 

Project Scope & Deliverables:

While much of the project has already been completed, we still need additional support to help us polish our website and meet our launch deadline in 4 months (mm/dd/yyyy). We will need the following three deliverables:

Deliverable #1 by (date)

Deliverable #2 by (date)

Deliverable #3 by (date)

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.

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