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Top 34 Portfolio Managers on 25 May 2019 on Toogit. Portfolio Managers on Toogit are highly skilled and talented. Hiring Portfolio Managers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Portfolio Managers on Toogit. Hiring Portfolio Managers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Poulami Banerjee Digital Marketing Communication & PR Consultant , United States
$14 /hr
5 Years Exp.
0 Followers
I am Masters in English & Masscom with over 5 years of demonstrated experience in luxury hospitality brands handling executive managerial roles in...Read More
Gemmarie Lease Administration Auditor, Philippines
$12 /hr
4 Years Exp.
0 Followers
Highly-qualified professional with strong history of positive performance honed over 4 years work experience in Real Estate and Leasing industry inclu...Read More
Utkarsh JainImplementation project manager, India
$30 /hr
5 Years Exp.
0 Followers
I'm a project management professional and carries experience of around 6 years in business analysis, Implementation of software, Project manageme...Read More
Ahana Chatterjee Content Writer, Manager and Marketer, India
$3 /hr
5 Years Exp.
0 Followers
I am an enthusiastic person and I love to travel, do photography and write for designated content as well as creative content. I take the content for...Read More
Nita NairSenior Content Writer, India
$9 /hr
13 Years Exp.
0 Followers
Creative, skilled, and accomplished content writer with vast experience in content creation for Search Engine Optimization, Search Engine Marketing, S...Read More
Samreen Blog and Article writing, India
$25 /hr
2 Years Exp.
0 Followers
I'm freelance writer specializing in blog posts, content writing and Article writing. My background in news means I am a stickler for deadline...Read More
As a reliable, experienced and highly motivated with expertise in Customer Support, Web management, e-Commerce, Digital marketing, and data processing...Read More
Aparna Bishtcontent writer, India
$10 /hr
6 Years Exp.
0 Followers
Silver-tongued and flawless creative writer, Strong media and communication professional with a PGP focused in Mass Communication/Media Studies. Wit...Read More
Mandeep SinghContent writer, India
$10 /hr
4 Years Exp.
0 Followers
Hello everyone, There are two words that can describe me writing and travelling. I love to write and have more than 5 years of experience. I have a hi...Read More
If you're looking to get your content done right the first time, you've come to the right place. I bring with me several years of writing an...Read More
Delete Content Manager, United States
$60 /hr
25 Years Exp.
0 Followers
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Doug Digital Content Manager, United States
$55 /hr
15 Years Exp.
0 Followers
Content Manager with over 10 years working in CMS, extensively in eZ Publish, Photoshop, writing/editing copy for web (landing pages, headlines, promo...Read More
Alana Content strategist for real estate, United Kingdom
$50 /hr
7 Years Exp.
0 Followers
Hi. I'm Alana. I help my real estate clients conduct their business with sensitivity to all buyer personas and I write content for small real es...Read More
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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.

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