DEV Community: Nephilem

Things you should never include in your CV

Nephilem — Wed, 02 Nov 2022 14:46:30 +0000

When you're applying for a job, your CV is your first chance to make a good impression. So it's important to get it right.

There are some things that you should never include in your CV, if you want to stand a chance of getting the job.

Personal information that is not relevant to the job
spelling mistakes and grammatical errors
Lies or exaggerations
A photo of yourself (unless the job specifically asks for one)
Your date of birth or age
Any mention of religion or political affiliation

Defining a CV:

A curriculum vitae, or CV, is a document that summarizes your professional and academic career. There are certain things that you should never include in your CV, as they can make you look unprofessional or even reduce your chances of getting the job. Here are some things to avoid including in your CV:

Personal information that is not relevant to the job: Your CV should focus on your professional qualifications and experience, so there is no need to include personal details such as your age, marital status or religious beliefs.
A photo of yourself: A passport-style photo is not necessary and can even be seen as unprofessional.
Negative information: There is no need to mention any negative experiences or jobs on your CV, as this will only serve to put off potential employers.

The Do's of CV Writing:

When you're job hunting, your CV is your most important tool. It's your chance to show employers why they should hire you, and it should be tailored to the specific job you're applying for. So what should you include in your CV?

Here are some dos:

Do include a personal statement or professional summary. This is a great way to quickly tell employers what you can bring to the table.
List your employment history in reverse chronological order. Begin with your most recent job and work your way back.
Do highlight your skills and accomplishments. Don't just list your duties - tell employers what you achieved in each role.
Do use action words to describe yourself, such as "achieved," "created," "improved," etc.
Do proofread!

The Don'ts of CV Writing:

When you're writing your CV, there are some things that you should definitely avoid if you want to stand out to potential employers. Here are four things you should never include in your CV:

Your photo: Unless the job posting specifically asks for a photo, it's best to leave it off of your CV. A picture can actually work against you, as it can give the impression that you're more interested in your appearance than in the job itself.
Irrelevant information: Only include information on your CV that is relevant to the job you're applying for. Employers don't need to know about every single job you've ever had; just include the ones that are most relevant to the position.
Lies: Don't lie on your CV!

Inconsistencies

While there are many things you should never include in your CV, inconsistencies may be the most important thing to avoid. Inconsistencies can come in many forms, from small typos to large discrepancies between your education and work history.

Any inconsistency on your CV can make recruiters doubt your ability to do the job you’re applying for. Typos, for example, show that you’re not detail-oriented enough to catch simple mistakes. Larger inconsistencies, such as claiming to have a degree from a prestigious university when you actually attended a less well-known school, can make recruiters question your honesty.

Typos

Grammatical errors are a big no-no on your CV; they show that you're not detail-oriented and can't be trusted to proofread your work.
Even one typo can make your CV look sloppy and unprofessional, so take the time to proofread carefully before hitting "send."
If you're not confident in your ability to catch all the typos, have a friend or family member read over your CV before you send it off.

Personal information that is not relevant

When you're applying for a job, it's important to focus on the information that is relevant to the position. However, there are some things that you should never include in your CV, regardless of how they might make you look. Here are some examples of personal information that is not relevant:

Your photograph: Unless the job specifically asks for one, your photograph doesn't belong on your CV. In many circumstances, it may cause more harm than good.
Your age or date of birth: This information is not relevant and can lead to discrimination during the hiring process.
Your marital status or number of children: Again, this is personal information that is not relevant to the job and could lead to discrimination.

Conclusion
Your CV is your opportunity to sell yourself to potential employers and it should be a reflection of your best qualities. However, there are certain things you should never include in your CV if you want to stand out for the right reasons.

Some of the things you should avoid are:

A photo of yourself: While it may seem like a good idea to include a photo of yourself, it can actually do more harm than good. Studies have shown that people who include photos with their CVs are less likely to be called for interviews.
Your date of birth or age: There is no need to include this information as it is not relevant to your ability to do the job.
Your marital status or number of children: Again, this is not relevant information and could lead to discrimination against you during the hiring process.

The Benefits of an Applicant Tracking System

Nephilem — Thu, 20 Oct 2022 11:09:40 +0000

What is an applicant tracking system?

An applicant tracking system (ATS) is a piece of software that
helps companies find, choose, and keep track of job candidates as they go through the hiring process. An ATS can save companies time and money by automating many of the manual tasks that are part of recruiting. The first thing that stands out about an applicant tracking system is its ability to It automates many of the manual tasks associated with recruiting. For example, it can replace a resume database by keeping job applications and resumes in one place. It can also take care of a lot of the manual work that needs to be done to find and contact candidates.

The benefits of an applicant tracking system

The benefits of an applicant tracking systems are numerous. The system can store resumes and other documents, track the status of applications, schedule interviews with recruiters, create reports based on data in the system, and make it easy for hiring managers to review applicant information. Many systems can even automate the process of sending job offers to candidates. Some of the most common benefits of using an applicant tracking system are: giving resumes and other information a central place to live; Applicants can upload their resume and other documents to the system, which makes them easily accessible. Tracking the status of applications. The system can track the status of each application so that hiring managers and recruiters know when candidates have submitted their applications, when they’ve been reviewed by a hiring manager or recruiter, and when they’ve been rejected or accepted.

How a system for keeping track of potential employees can help your business

Many business owners are already familiar with what applicant
tracking systems are and how they can help their businesses. However, not Everyone is aware of how it can improve the way that they hire employees. If you want to know more about how an applicant tracking system can help your business, just keep on reading. You'll learn what it is, why it's important for your business, and how to get the most out of it. What is an applicant tracking system? An applicant tracking system is a software program that helps businesses in the hiring process. It's usually used to manage applications from candidates, store resumes, and track applicants through the entire hiring process. An applicant tracking system can be an online or desktop system. How does it help your business?

The cost of an applicant tracking system

Is often recovered in a short period of time due to the
efficiency it provides. Application tracking software can save you hours of work by automating tasks and making it easier for hiring managers and recruiters to talk to each other. A study by the Aberdeen Group, a research and consulting firm based in Boston, found that companies that used applicant tracking systems saw a decrease in time-to-hire by 15% on average. Additionally, the study found that companies with applicant tracking systems experienced an average of 6 fewer days to fill jobs. Due to how well it works, an applicant tracking system often pays for itself in a short amount of time. Application tracking software can save you hours of work by automating tasks and making it easier for hiring managers and recruiters to talk to each other.

How to get started with an applicant tracking system

The first step is to write down the tasks that you and your team
spend the most time on. These are tasks that can be automated with an applicant tracking system. Next, you need to find a good applicant tracking system for your business. There are a couple of ways to find a good system.

Conclusion

Implementing an applicant tracking system can be a good move for
small businesses. It will save hiring managers and recruiters time and helpthem to focus on the most important tasks. It will also make it easier for your business to find the top talent for jobs in your organization.

California takes the crown as the #1 state in America most interested in Bitcoin and Ethereum, according to CoinGecko

Nephilem — Tue, 13 Sep 2022 11:43:34 +0000

Highlights

● Surpassing all states, California makes up 43% of total Bitcoin and Ethereum web page traffic on CoinGecko, in the United States.

● Illinois and New York are the second and third states, respectively, that are most interested in Bitcoin and Ethereum.

● While Bitcoin records a higher average market share of 76% across the top 20 states by web page traffic on CoinGecko, Ethereum’s market share is higher than Bitcoin’s market share for Colorado, Wisconsin, New Jersey and Florida.

California dominates as the #1 state in America most interested in Bitcoin and Ethereum, based on a new study by CoinGecko, the world’s largest independent cryptocurrency data aggregator.

The research aims to identify states in America that are most interested in Bitcoin and Ethereum, and does
so by examining CoinGecko’s Bitcoin and Ethereum web page traffic within the United States, between May 2 to August 21, 2022. The data is then indexed on a scale of 0 to 100, and numbers represent web page traffic relative to the highest point in this data set.

Following California, other contenders in the top 10 are Illinois, New York, Florida, Washington, Pennsylvania, Texas, Virginia, Georgia and Arizona.

Figure 1: Top 10 States in the United States most interested in Bitcoin and Ethereum

Surpassing all states, California makes up 43% of total Bitcoin and Ethereum web page traffic on CoinGecko, in the United States, signaling highest interest in these cryptocurrencies.

Figure 2: California vs. U.S. States ex. California, by Bitcoin and Ethereum interest

While Bitcoin records an average market share of 76% across the top 20 states by web page traffic (see figure 3), Ethereum's market share is higher than Bitcoin's market share for Colorado, Wisconsin, New Jersey and Florida (see figure 4).

Figure 3: Bitcoin vs. Ethereum’s market share, averaged across top 20 states most interested in Bitcoin and Ethereum

Figure 4: Bitcoin vs. Ethereum Market Share by State, across top 20 states most interested in Bitcoin and Ethereum

Bobby Ong, COO and co-founder of CoinGecko commented on the findings: “It is unsurprising that California, as one of the world’s major technological hubs, takes the crown in ‘blue-chip’ cryptocurrency interest. What’s especially notable is Colorado, Wisconsin, New Jersey and Florida’s interest in Ethereum over Bitcoin. It remains to be seen how these rankings and market shares will play out in the coming months, with Ethereum’s Merge around the corner.”

Methodology

The data is based on CoinGecko web page traffic to Bitcoin and Ethereum pages, within the United States, between May 2 and August 21, 2022. The data set is indexed to 100, where 100 is the highest point for web page traffic, given the time and location selected. Subsequent numbers represent web page traffic relative to this highest point.

About CoinGecko

Since 2014, CoinGecko has been a trusted source of information by millions of cryptocurrency investors. Its mission is to empower the cryptocurrency community with an in-depth, 360-degree overview of the market. CoinGecko delivers comprehensive information from thousands of data points such as price, trading volume, market capitalization, developer strength, community statistics, and more. It currently tracks over 13,000 crypto assets from over 500 exchanges worldwide. For more information about
CoinGecko, visit www.coingecko.com.

How to learn Machine Learning?

Nephilem — Mon, 20 Sep 2021 09:40:51 +0000

Machine learning is the process of applying analytical and statistical models to enable computer systems to execute a range of activities in the absence of human-provided step-by-step instructions. As a consequence, machine learning may be used to generate various data-driven hypotheses.

Many industries have benefited from data science, but machine learning has always been a fundamental driver of digital transformation and automation. With the quantity of data created every day increasing exponentially, the world requires experts who can extract insights from that data and forecast the future.

Machine learning is prevalent all around the world. It can be beneficial to data scientists, software engineers, and business analysts. Students must spend months, if not years, mastering the theory and mathematics of machine learning. Without question, this is the best way to start your adventure. If you want to work in the subject of Machine Learning, you'll need a good background in math and statistics.

Are you interested in the opportunities that machine learning offers? Check out the path you may take to become an expert in machine learning.
Step 1. Learn Python/R
Machine learning capabilities are available in a variety of languages. In addition, there is a lot of development work going on in a lot of language addition; there is a lot of development work going on in many languages. The most widely used languages are “R” and “Python,” and both have extensive support and community. Before diving into the realm of machine learning, I recommend picking one of these two languages (R or Python) to assist you in focusing on machine learning.