The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the...Read More
Top 37 Data Science Freelancers on 28 Jan 2020 on Toogit. Data Science Freelancers on Toogit are highly skilled and talented. Hiring Data Science Freelancers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Data Science Freelancers on Toogit. Hiring Data Science Freelancers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.
List your project requirement with us. Anything you want to get developed or want to add to your business. Toogit connects you to Top freelancers around the world.
Invite and interview your preferred talent to get work done. Toogit Instant Connect helps you if you need your project started immediately.
Define Tasks, use Toogit's powerful project management tool, stay updated with real time activity logs
Review work, track working hours. Pay freelancers only if you are 100% satisfied with the work done.
Its simply the best. So much opportunity offered to everyone
this is a really good site
this is the most amazing online job i have ever seen
Very good renowned website
Lots of job offering.
It's a great platform to enhance my skillset
it's well organized and structured . i would definitely recommend it.
This is a great site to search for freelance work.
free website , good for new freelancers
Well established and providing a good palteform to seek job / services.
a nice place to earn money and to keep busy and get skill.
Toogit is a great website for online jobseekers
I have just joined toogit and i am very hopeful to find especially VoIP intergration challenging projects which i will love to take up with my wealth of knowledge and experience in Business Telephone Systems. The site looks neat and rich with projects
good tool for the freelancers to search jobs and connecting them with the people looking for the similar engagement.
A great forum for job seekers
I liked the experience of setting up my account in record time. The instructions are simple and straight forward. Thank you.
I am new in toogit but I think it's much better than upwork.. Thank you toogit team for this web portal.
Easy to sign up and as a freelancer we can find more client.
Yeah you guys rocks, great platform
The accuracy of job offers aligned to the skill sets of an applicant is commendable and worth utilizing the service with.
This is a good source of online employment
Toogit is very easy to use and accessible to first time freelance job hunters.
It's a good platform for freelancers like me.
This site is very good for freelancers. Liked it very much. Thanks!
I find your site fantastic thus far, really like your platform and approach for offering opportunities to global talent. I will be working on my profile in the coming days. Cheers
nice and easy toogit
The site is a lot more interactive and business oriented .i love it.
Toogit is a unique platform for freelancers, every freelancer should try something efficient like Toogit.
This is a user friendly. Freelancers has a lot of opportunities when creating an account here in Toogit.
Toogit is very much useful in providing information regarding relevant job offerings. I found it very useful.
Easy access, user-friendly site. Kudos to Toogit
toogit features seem good.
best thing ever love this site
great avenue to find your dream freelancing job!
Very good for beginners
Very good opportunity to prove ones skill and earn from it
Just signed up but already liking what I am seeing. Keep it up
Perfect platform to earn good money
Very good platform for freelancers
Helpful website for everyone
Its a very good platform to connect over the vendors as well as clients in professional way. Great App!
Toogit is a fantastic platform for freelancers as well as those looking to employ freelancers.
One of the most trusted website
very good web site for freelencer
This site give us work from home.
I found the platform user friendly and would have no restrictions in referring toogit to others
A worthfull platform to explore new heights.
this is a site with very easy to understand layout - you guys rock
I see it's a perfect way to work online , Thank you
God of Freelancer - Toogit
Very nice platform for freelance work
wonderful portal for people who wish to involve in freelancing.
Its a very user friendly site
Good plateform for Newbees.
Good website for freelancers.
Here everything may be found whatever you want.
Just loved the platform!
good platform for freelancers
Very happy to be here
I find it a good way to introduce freelancing.
it's great i love it
easy and trusted way to work.
Good Website for Freelancer
The very good site for freelancing. I liked their services. Avid writers should try their skills on the site. Their avail is auxiliary to the freelancers.
Excellent platform to job seeker.
Excellent platform for freelancers
Toogit is a great platform for Freelancers.
You did an excellent job. Keep it up.
The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.
In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.
Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.
Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.
Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.
Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.
To achieve all of the above, a data scientist may be required to:
Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.
The careers associated with data science are generally categorized into five.
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.
Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.
Web scraping a web page involves fetching it and extracting from it. Fetching is the downloading of a page (which a browser does when you view the page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).
Web scraping is used for content scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.
Using data scraping you can build sitemaps that will navigate the site and extract the data. Using different type selectors you will navigate the site and extract multiple types of data - text, tables, images, links and more.
Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions. Current web scraping solutions range from the ad-hoc, requiring human effort, to fully automated systems that are able to convert entire web sites into structured information, with limitations.
In order to remain competitive, businesses must be able to act quickly and assuredly in the markets. Web Scraping plays a big role in the development of various business organizations that use the services.
The benefits of these services are:
It’s important to note that not all scraper will be ideal fits for every project. For example, those with highly analytical backgrounds in software engineering would be ideal for developing algorithms but may not be the right fit for a data scraping project. That’s why it’s so important to understand what type of scraping expert will bring the most benefit to your company and business goals.
What is the overall learning you hope to find?
By including your goal in the project description, it allows professionals to better understand what type of work is required.
What core skills will scraping experts need to complete the project?
The answer will revolve around your current data infrastructure and the processes used to extract information.
Would you benefit from someone with highly specialized skills in a few areas of data scraping, or would a well-rounded expert serve you better?
Are there any time constraints to consider with this project?
Let professionals know the amount of hours of work that might be involved.
What kind of budget will this project have?
The more experience and expertise a data scraper has, the higher they expect to be compensated. Higher budgets will more likely give top-tier experts a reason to submit a proposal.
Below is a sample of how a project description may look. Keep in mind that many people use the term “job description,” but a full job description is only needed for employees. When engaging a freelancer as an independent contractor, you typically just need a statement of work, job post, or any other document that describes the work to be done.
ABC Company is looking for a web scraping expert to help us study our website traffic patterns and find areas of improvement. This project is estimated to require approximately 20-25 hours per week for the next few months to achieve the following goals
The following skills are required:
The ideal freelancer will be a creative problem solver with an excellent work history on Toogit. To submit a proposal, please send a short summary of similar projects you’ve completed and why we should consider you for this project.
Remember that technical ability is only a small portion of what makes an excellent web scraper. Great web scrapers are inquisitive—they want to ensure that they’re seeking the right types of answers, plus they’ll take an interest in your business to better understand it. The ideal professional will also be able to advise you on additional metrics to analyze and compare in order to help you meet your goals.
Also, keep in mind that communication is always a key consideration in the data science field. A brief interview can allow you to gauge how strong each professional is in expressing ideas and explaining their process. The more you speak to each professional by phone, email, or chat, the better you’ll be able to gauge their professionalism and communication skills and determine whether they’re right for your project.
The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the...Read More
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 sh...Read More
What is a web scraping?Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide...Read More
An experienced, disciplined, and highly-motivated Business Solutions Analyst who has worked on a wide range of...
I have 3+ years of experience in Product Management and Data analysis. I have worked on problems covering foll...
7+ years of experience in leading data science teams and projects. Strong background in building models, and u...
Top-performing Business Consultant and Analyst with 3 plus years’ experience in follows: 1. Enhancing operat...