Hire the best
Data Science

Top 36 Data Science on 27 May 2019 on Toogit. Data Science on Toogit are highly skilled and talented. Hiring Data Science 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 on Toogit. Hiring Data Science on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

Get Started

Explore Toogit’s top Data Science

 
 
 
Bharat I am Ml Engineer and Competitive Coder, India
$10 /hr
1 Years Exp.
0 Followers
I am a certified Ml Engineer and technology enthusiastic.
Jarry JaferyData Scientist, Pakistan
$20 /hr
5 Years Exp.
0 Followers
A Data Scientist with more then four years of experience.I have worked with different types of data sets (like numeric,text) under different companies...Read More
Yagnik ThankiSoftware engineer, India
$19 /hr
2 Years Exp.
0 Followers
I am machine learning and python developer with 2 years of experience.
Md. Fahad HasanData Scientist, India
$17 /hr
1 Years Exp.
0 Followers
I am a certified Data Scientist. I worked on projects related to Logistic and linear regression, Decision tree classification.
Medha Data Analyst /Statistiican, India
$0 /hr
4 Years Exp.
2 Followers
I am Mumbai (India) based Freelance Statistician & I can provide Data Entry, Data Cleaning , Data Analysis & Report Writing services to organi...Read More
Dr. Abhay KarnatakiFreelance Data Scientist, India
$3 /hr
3 Years Exp.
0 Followers
I am looking for Data Science projects using R
Roshan PrakashRobotics | Deep Learning | Computer Vision , India
$40 /hr
1 Years Exp.
0 Followers
Hi, I am a graduate from Manipal Institute of Technology, Manipal. I have been working on Computer vision task such as Classification, Segmentation, O...Read More
Manisha MalhotraFreelance Trainer, India
$34 /hr
3 Years Exp.
0 Followers
I am dedicated to impart knowledge to many Big Data and Data Science enthusiasts. A keen learner with hands on experience in various Big Data tools li...Read More
Yukti VermaEnglish expert, India
$3 /hr
0 Years Exp.
0 Followers
i am currently a housewife. Have worked before in a company as a manager. Have excellent command over English and Hindi.
Sumit MaanData Scientist, India
$20 /hr
1 Years Exp.
1 Followers
IIT Bombay graduate, data scientist with hands on experience in machine learning and data analytics. Can excel on tasks as mentioned below: -Image...Read More
Supriti Rao data scientist, India
$9 /hr
5 Years Exp.
0 Followers
I am acertified IBM professional data scientist with 5+yeras of experience .A bright, talented and self-motivated data scientist who has excellent org...Read More
Shweta Data Scientist, India
$25 /hr
2 Years Exp.
0 Followers
I am Data Scientist having 2 years of experience. Qualification : Masters in Statistics Have a strong hands on machine learning, Statistics, Predi...Read More
Nancy Data Scientist, India
$17 /hr
3 Years Exp.
0 Followers
Having 3+ years of experience in my domain, I am a certified Python Programmer for Data Science by University of Michigan.
Rajorshi RoyData Science Specialist, India
$5 /hr
6 Years Exp.
0 Followers
I am a professional data science specialist with over 6 years of experience.
Atul AnandData scientist, India
$20 /hr
6 Years Exp.
0 Followers
I am a data scientist,having 6 years of experience in full flow of data science, including data gathering, web scrapping, data classification, cluster...Read More
Chetana AjgaonkarData Scientist, India
$2 /hr
2 Years Exp.
0 Followers
I am certified Data scientist since 1+ year
Excitespotless FilmsvideosMachine Learning Engineer, India
$2 /hr
1 Years Exp.
0 Followers
Experienced in building machine learning models based upon clients requirement. Have a sound knowledge in Linear regression, Logistic regression, Natu...Read More
Idreesh MohammedBusiness analyst/sales analyst , India
$8 /hr
3 Years Exp.
0 Followers
I carry 4.5 year + experience in corporate and working from past 3 year in data visualization (Tableau Desktop) and generating charts and report as pe...Read More
Oye Sir GSir G, India
$100 /hr
5 Years Exp.
0 Followers
I am writing various topics of science since last five years and i have a creative scientific mind
Pallav AbhishekBusiness Analyst, India
$20 /hr
6 Years Exp.
0 Followers
Business Analyst with 6 Years industry experience, Expertise in creating appealing Tableau stories for users.
I am a full stack developer with sound knowledge of: -MongoDB -ExpressJS -Angular(2+) -NodeJS -Python, flask, numpy, scipy, scikit-learn, word...Read More
Kumud Sanghi Programmer, India
$19 /hr
0 Years Exp.
0 Followers
Have relevant skills mainly in python. Great knowledge of it's packages like numpy , pandas, matplotlib, seaborn, sklearn, opencv, dlib, socket a...Read More
Ashish Data Scientist, India
$5 /hr
3 Years Exp.
0 Followers
• Developed an optimization model to control the emission of Nox from a Thermal power plant. • Performed Dimensionality Reduction using several stati...Read More
Gurjyot SinghData Scientist, India
$2 /hr
0 Years Exp.
0 Followers
I am Microsoft certified machine learning enthusiast. I am new in the field, but have gained a whole lot of experience by working on a set of projects...Read More
Nikhil AgrawalAndroid Developer and data scientist, India
$20 /hr
1 Years Exp.
0 Followers
Currently a B. Tech 2nd year student at IIT ROORKEE. I am very experienced in android app development and data science ( especially predictive modell...Read More
To view more profile join Toogit

Get Started
 

How it works

Post a job

Post a Job

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.

Hire

Hire

Invite and interview your preferred talent to get work done. Toogit Instant Connect helps you if you need your project started immediately.

Work

Work

Define Tasks, use Toogit's powerful project management tool, stay updated with real time activity logs

Payment

Pay

Review work, track working hours. Pay freelancers only if you are 100% satisfied with the work done.

Reviews From Our Users

Skills related to Data Science

Articles Related To Data Science


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.

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.

 

So what does a Data Scientist do?

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 Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising future ahead. Python programming language is presently being used by a number of high traffic websites including Google, Yahoo Groups, Yahoo Maps, Shopzilla, Web Therapy, Facebook, NASA, Nokia, IBM, SGI Inc, Quora, Dropbox, Instagram and Youtube. Similarly, Python also discovers a countless use for creating gaming, financial, scientific and instructive applications.

 

Python is a fast, flexible, and powerful programing language that's freely available and used in many application domains. Python is known for its clear syntax, concise code, fast process, and cross-platform compatibility.

 

Python is considered to be in the first place in the list of all AI and machine learning development languages due to the simplicity. The syntaxes belonging to python are terribly easy and can be easily learn. Therefore, several AI algorithms will be easily implemented in it. Python takes short development time as compared to different languages like Java, C++ or Ruby. Python supports object oriented, functional as well as procedure oriented styles of programming. There are lots of libraries in python that make our tasks easier.

 

Some technologies relying on python:

Python has become the core language as far as the success of following technologies is concerned. Let’s dive into the technologies which use python as a core element for research, production and further developments.

 

  1. Networking: Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost-effective and secure manner.
  2. Big Data: The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries.
  3. Artificial Intelligence (AI): There are plenty of python frameworks, libraries, and tools that are specifically developed to direct Artificial Intelligence to reduce human efforts with increased accuracy and efficiency for various development purposes. It is only the Artificial Intelligence that has made it possible to develop speech recognition system, interpreting data like images, videos etc.

 

Why Choose Python for Artificial Intelligence and Machine Learning?

Whether a startup or associate MNC, Python provides a large list of benefits to all. The usage of Python is specified it cannot be restricted to only one activity. Its growing popularity has allowed it to enter into some of the most popular and complicated processes like artificial intelligence (AI), Machine Learning (ML), natural language process, data science etc. The question is why Python is gaining such momentum in AI? And therefore the answer lies below:

 

Flexibility: Flexibility is one of the core advantages of Python. With the option to choose between OOPs approach and scripting, Python is suitable for every purpose. It works as a perfect backend and it also suitable for linking different data structures together.

 

Platform agnostic: Python provides developer with the flexibility to provide an API from the existing programming language. Python is also platform independent, with just minor changes in the source codes, you can get your project or application up and running on different operating systems.

 

Support: Python is a completely open source with a great community. There is a host of resources available which can get any developer up to speed in no time. Not to forget, there is a huge community of active coders willing to help programmers in every stage of developing cycle.

 

Prebuilt Libraries: Python has a lot of libraries for every need of your AI project. Few names include Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning.

 

Less Code: Python provides ease of testing - one of the best among competitors. Python helps in easy writing and execution of codes. Python can implement the same logic with as much as 1/5th code as compared to other OOPs languages.

 

Applications of Python:

There are so many applications of Python in the real world. But over time we’ve seen that there are three main applications for Python

Web Development: Web frameworks that are based on Python like Django and Flask have recently become very popular for web development.

Data Science (including Machine Learning): Machine Learning with Python has made it possible to recognize images, videos, speech recognition and much more.

Data Analysis/Visualization: Python is also better for data manipulation and repeated tasks. Python helps in the analysis of a large amount of data through its high-performance libraries and tools. One of the most popular Python libraries for the data visualization is Matplotlib.

 

Articles Related To Data Science


5 Reasons Why You May Have Been Rejected In A Data Science Interview
5 Reasons Why You May Have Been Rejected In A Data...
Data Mining & Management

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
Scope and Career Opportunities of Data Science
Scope and Career Opportunities of Data Science
Data Extraction / ETL

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
Choose Python Language for Bright Future
Choose Python Language for Bright Future
Other - Software Development

Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising futu...

Read More

Other Freelancers In Similar Categories

Sangram


- Strong foundation in the LAMP & Django stack. - Strong focus on UI/X, Stability & Maintainability...

Athulraj Puthal...


Python Programmer with expertise in Data Analysis and website development with Flask Framework for over 2.5 y...

Sushant Ghildya...


I am an experienced analytics professional with 4+ years of experience across retail & travel e-commerce....

Ouchen Yassir


Hello, Thank you for seeing my profile. I have a passion for language, specifically translating into three lan...

What our users are discussing about Data Science