Whether you are running an MNC or a budding enterprise, recruitment is a critical aspect of your business’s growth and success. A business with the right people can work fast-paced toward achieving its goal.
Businesses that opt for a traditional recruitment process can find themselves amidst a very time-consuming and complex process, especially when it's about sorting out the CVs or resumes.
But many recruiters have started adopting the path of least resistance. As you can see, the ladders study demonstrated that recruiters are still trimming down the resumes for details and spending 6 seconds on average to review candidates' profiles. They are more likely to filter out the candidate pool quickly and shortlist the top 3-5 CVs.
Meanwhile, job seekers also spend a lot of time searching for companies and recruiters through different platforms. That’s where parsing comes into action!
Parsing fills the void between job seekers and recruiters by analyzing the candidate's CV and sorting the important information quickly. Read the document to understand parsing in detail and how to create a parsable CV.
Modern Resume Analyser For Students And OrganisationsIRJET Journal
The document describes a resume analysis web application that analyzes uploaded resumes in PDF format. It extracts information from the resume using natural language processing and text mining. The application provides a resume score based on the presence of key elements and gives feedback to help users improve their resume. It aims to help job seekers improve their chances of getting interviews by identifying issues in their resumes. The application uses modules like streamlit, Resumeparser, pandas and matplotlib to analyze resumes, extract structured data, store and visualize information.
Business Intelligence Solution Using Search Engineankur881120
The document describes a business intelligence solution that uses a search engine to index and search web pages. It discusses using crawlers to index web pages and store them in a repository. An indexer then generates an inverted index from the repository to support keyword searches. The system architecture includes the repository, indexer, and search functionality. It also describes the database structure used to store crawled URLs, the index, and search results. The project aims to build a basic search engine to demonstrate the proposed business intelligence solution.
Rchilli An Application Recruiting SoftwareVinay Johar
Rchilli is Automated Hr Software which provides resume parsing software that is easy to use and cost effective. This resume extraction software helps to extract resume from email, pc folder and more. Free version of this resume parser is also available.
Proposal for hrm software and dynamic websiteMohammad Sayem
The document provides information about an HR software system called SRRK IT LTD. It discusses the features and benefits of the software, including employee data management, job opening management, applicant tracking, training records, benefits information, documentation management, and an employee termination process. The software aims to improve efficiency, reduce costs, provide easy access to information, enable data analysis, improve communication and security, and mitigate risks for human resource departments.
This document provides information about an HR software system called SRRK IT LTD. The software aims to help companies efficiently manage employee data and HR processes. It includes features such as employee record keeping, benefits management, training tracking, recruitment tools, and document management. The software claims to provide benefits like reduced administrative costs, improved access to information, opportunities for data analysis, enhanced communication, and risk mitigation. The company, SRRK IT LTD, positions itself as socially responsible and committed to environmental protection, employee well-being, and upholding values like integrity and responsibility.
- Mariska Hargitay is an American actress known for her role as Olivia Benson on Law & Order: Special Victims Unit.
- She has used her celebrity platform to advocate for victims of sexual assault and help reform laws surrounding the backlog of untested rape kits.
- Through the Joyful Heart Foundation, which she founded, Hargitay has helped pass laws to process untested rape kits and support victims of sexual assault.
Data Mining As Used In Employee Recruitment &melodysmithjones
The amount of digital data available is doubling every three years and data mining can transform this data into useful information for applications such as marketing, fraud detection, and scientific discovery. Data mining is also used by human resources departments to provide information for employee recruitment and retention by profiling successful employees and focusing efforts. Some large companies have used analytics to evaluate their workforce and study correlations between thriving workers and their attributes to identify thought leaders and bottlenecks. However, concerns exist around the sensitivity of personal employee information being collected and the lack of privacy for individuals.
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”voginip
Smartlogic provides semantic search and content intelligence solutions to unlock business value from unstructured content. Their software, Semaphore, uses natural language processing and machine learning to build ontologies and automatically annotate content with metadata, enabling more sophisticated search and discovery of hidden knowledge within large volumes of documents. Semaphore integrates with various systems and delivers benefits such as cost savings from more efficient content exploration, risk reduction through improved compliance, and competitive advantages from making better use of organizational intelligence in content.
Modern Resume Analyser For Students And OrganisationsIRJET Journal
The document describes a resume analysis web application that analyzes uploaded resumes in PDF format. It extracts information from the resume using natural language processing and text mining. The application provides a resume score based on the presence of key elements and gives feedback to help users improve their resume. It aims to help job seekers improve their chances of getting interviews by identifying issues in their resumes. The application uses modules like streamlit, Resumeparser, pandas and matplotlib to analyze resumes, extract structured data, store and visualize information.
Business Intelligence Solution Using Search Engineankur881120
The document describes a business intelligence solution that uses a search engine to index and search web pages. It discusses using crawlers to index web pages and store them in a repository. An indexer then generates an inverted index from the repository to support keyword searches. The system architecture includes the repository, indexer, and search functionality. It also describes the database structure used to store crawled URLs, the index, and search results. The project aims to build a basic search engine to demonstrate the proposed business intelligence solution.
Rchilli An Application Recruiting SoftwareVinay Johar
Rchilli is Automated Hr Software which provides resume parsing software that is easy to use and cost effective. This resume extraction software helps to extract resume from email, pc folder and more. Free version of this resume parser is also available.
Proposal for hrm software and dynamic websiteMohammad Sayem
The document provides information about an HR software system called SRRK IT LTD. It discusses the features and benefits of the software, including employee data management, job opening management, applicant tracking, training records, benefits information, documentation management, and an employee termination process. The software aims to improve efficiency, reduce costs, provide easy access to information, enable data analysis, improve communication and security, and mitigate risks for human resource departments.
This document provides information about an HR software system called SRRK IT LTD. The software aims to help companies efficiently manage employee data and HR processes. It includes features such as employee record keeping, benefits management, training tracking, recruitment tools, and document management. The software claims to provide benefits like reduced administrative costs, improved access to information, opportunities for data analysis, enhanced communication, and risk mitigation. The company, SRRK IT LTD, positions itself as socially responsible and committed to environmental protection, employee well-being, and upholding values like integrity and responsibility.
- Mariska Hargitay is an American actress known for her role as Olivia Benson on Law & Order: Special Victims Unit.
- She has used her celebrity platform to advocate for victims of sexual assault and help reform laws surrounding the backlog of untested rape kits.
- Through the Joyful Heart Foundation, which she founded, Hargitay has helped pass laws to process untested rape kits and support victims of sexual assault.
Data Mining As Used In Employee Recruitment &melodysmithjones
The amount of digital data available is doubling every three years and data mining can transform this data into useful information for applications such as marketing, fraud detection, and scientific discovery. Data mining is also used by human resources departments to provide information for employee recruitment and retention by profiling successful employees and focusing efforts. Some large companies have used analytics to evaluate their workforce and study correlations between thriving workers and their attributes to identify thought leaders and bottlenecks. However, concerns exist around the sensitivity of personal employee information being collected and the lack of privacy for individuals.
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”voginip
Smartlogic provides semantic search and content intelligence solutions to unlock business value from unstructured content. Their software, Semaphore, uses natural language processing and machine learning to build ontologies and automatically annotate content with metadata, enabling more sophisticated search and discovery of hidden knowledge within large volumes of documents. Semaphore integrates with various systems and delivers benefits such as cost savings from more efficient content exploration, risk reduction through improved compliance, and competitive advantages from making better use of organizational intelligence in content.
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”VOGIN-academie
Smartlogic provides semantic search and content intelligence solutions to unlock business value from unstructured content. Their solution, Semaphore, uses natural language processing and machine learning to automatically enrich content with metadata, extract entities and facts, and categorize content according to customizable semantic models or ontologies. This helps organizations more effectively search, discover, and leverage information across diverse content sources. Semaphore delivers enhanced search capabilities, automated categorization, and tools to build and manage semantic models collaboratively. Customers report benefits such as reduced time spent searching, lower classification costs, and reduced risk of non-compliance by making more information accessible.
The document provides an overview of a presentation on expanding data quality practices at salesforce.com. It discusses de-duplicating existing data, managing data loads more effectively, and keeping data clean. Specific techniques are presented for determining what qualifies as a duplicate record, examining sample data to understand matching challenges, and using tools like the Excel Connector and Data Loader to facilitate the processes.
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Hi everyone, I am Divyansh an aspiring chartered accountant. I started preparing for CA in 2012. In these few year, I came to know that Finance is a very vast sector and a Chartered Accountant can work in any field he wants. So I had made this presentation for my ITT training which I felt to share to everyone. Thanks for reading.
Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But, oftentimes with RDBMS, performance degrades with the increasing number and levels of data relationships and data size.
A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL.
This webinar explains why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.
To effectively leverage the power of rich visualizations in making data-driven decisions, you must significantly reduce front-end data preparation time.
In order to create visualizations that lead to answers quickly, you need to prepare your data in the right way. Together, Alteryx and Tableau can help. This paper will show you how.
The document discusses the history and evolution of online job searching from the early 1990s to present day. It traces key developments like the introduction of job boards and boards, rise of sites like LinkedIn and Monster, growth of applicant tracking systems (ATS), and increasing automation of the job search and application process. The role of ATS in sorting and filtering candidates is also examined, along with tips for job seekers on optimizing resumes and applications to get past the "black hole" these systems can create.
Fact is: virtually all large organizations use ATS. 75% of CVs are never seen by a recruiter*. Landing a job via a job ad (with ATS) has worked for 18% of our clients – experienced managers & executives! 5 years ago that number was 0%!
Having a CV that is legible by programs is crucial. Is your CV “ATS-compliant”? Find out! It’s often the difference between getting an interview or not.
Send us your CV for a free review and you’ll receive an “ATS CV Compliance Report”.
Email: Bichl.Sandra (at) CareerAngels.eu
Subject: ATS Report
*acc. to TopResume
The document discusses the importance of tracking the results and ROI of recruitment advertising spending. It outlines the "Four A's" process to maximize ROI: 1) Assign responsibility for tracking to someone on the recruiting team. 2) Automate tracking through the applicant tracking system (ATS) using automated source codes. 3) Analyze cost per applicant and cost per hire metrics to determine top and low performing sources. 4) Adjust spending by shifting budget to top performing sources and discontinuing low performers based on the data analysis. Implementing this process helps ensure recruitment advertising spending is optimized.
Career Hacking: Episode 1 - Resume HackingLocalWork.com
This document discusses resume hacking by tailoring your resume to the specific job descriptions you are applying for. It recommends finding 3 ideal job postings and creating a spreadsheet to highlight the required skills, experience, and qualifications mentioned. The resume should then be modified to include the same keywords, phrases, and specifics called out in the job descriptions to increase the chances of it being picked up by resume parsing software which screens candidates based on keywords. Proper resume hacking takes work but can get the resume ranked higher and make it more likely to be seen by a recruiter.
Placement Feed is a matching product designed for staffing
firms. It prioritizes your opportunities to make placements
and gives you an actionable candidate list.
The document summarizes Path 101, an online career guidance service that aims to help people who are unsure of their career path. It does this through assessments, peer career advice, and analyzing over 10 million resumes to provide personalized career recommendations and resources. The service is launching to address the large number of American workers who are unsatisfied with their careers and people struggling to decide their next career move. It takes a data-driven approach to career guidance using machine learning and big data techniques.
Business intelligence (BI) is the analysis of raw data to provide useful information for business decision-making. BI tools transform large amounts of data from various sources into insights through data management, discovery, and reporting. Data management tools prepare data for analysis. Data discovery applications like data mining, OLAP, and predictive analytics help users find patterns. Reporting tools such as visualizations, dashboards, and scorecards present analyzed data to convey insights easily. There are many categories of BI tools from various vendors that organizations can use to transform data into strategic information.
This document discusses using Hadoop to parse and process resumes received in various formats like documents and text. It proposes a system that can extract data from large volumes of resumes automatically without human involvement. Key components include resume parsing using Apache Tika, storing resumes in HDFS, identifying skills and tags using MapReduce, and recommending jobs to candidates based on their profiles. The system aims to reduce manual handling of resumes and provide suggestions to users about missing information in an efficient distributed manner using Hadoop.
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Join Richard Harbridge to learn about actionable techniques to improve, simplify and amplify your leadership, business analysis and information architecture efforts with Office 365. Walk away with improved confidence when dealing with business and non-technical related challenges of Office 365, and be familiarized with effective tools and techniques that make Office 365 implementations more successful.
Dashboards- Take a closer look at your dataNathan Watson
Dashboards present key business data in a visual format to help users identify important trends and metrics at a glance. Well-designed dashboards use preattentive visual cues like color, size, and position to help the brain process information quickly. Contemporary Analysis helps companies create intuitive dashboards that focus on presenting only the most essential data in a simple, easy to understand manner.
Tips from a professional recruiter that assists job seekers in getting ahead of the crowd using unique methods to trick the electronic resume database systems into pushing your resume to the top of the query listing.
The document discusses different types of SAP HANA models. It describes SAP HANA's database engine architecture, noting that it is an in-memory technology platform that can be deployed as an appliance or in the cloud. Its core is the SAP HANA database, which is designed for high performance applications by keeping relevant data in main memory. The document also outlines the various components that make up SAP HANA, including application servers, a name server, and administration tools like SAP HANA Studio. It notes that SAP HANA Studio can be used for both development and administration tasks.
TASMO uses Artificial Intelligence to understand the Human Language. This is named "NLP" or Natural Language Processing. TASMO (a platform for the analysis of structured and non-structured big data, such as human language). It is currently being tested by security and intelligence national agencies for advanced use in the attempt to identify and preempt potential hostile (internal or external) agents. TASMO can also analyse tender data and allow to save 90% of the time usually dedicated to analyse offers or classify documents.
TASMO uses Artificial Intelligence to understand the Human Language. This is named "NLP" or Natural Language Processing. TASMO (a platform for the analysis of structured and non-structured big data, such as human language). It is currently being tested by security and intelligence national agencies for advanced use in the attempt to identify and preempt potential hostile (internal or external) agents. TASMO can also analyse tender data and allow to save 90% of the time usually dedicated to analyse offers or classify documents.
Resume hacks 5 tips to beat AI screening tools and get noticedJobTatkal
n the modern job market, where technology is evolving at a rapid pace, it's essential to understand and adapt to new trends. One such trend is the rise of AI-based resume screening, which has become immensely popular among recruiters.
In fact, a staggering 98.8% of Fortune 500 companies use an Applicant Tracking System (ATS) to streamline their hiring process. To increase your chances of landing an interview, it's crucial to optimize your resume for AI.
In this document, we'll explore why AI-based resume screening has gained popularity and provide five effective tips to help you bypass AI screening and secure coveted job interviews.
Interview anxiety AI can calm your nerves.pdfJobTatkal
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Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But, oftentimes with RDBMS, performance degrades with the increasing number and levels of data relationships and data size.
A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL.
This webinar explains why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.
To effectively leverage the power of rich visualizations in making data-driven decisions, you must significantly reduce front-end data preparation time.
In order to create visualizations that lead to answers quickly, you need to prepare your data in the right way. Together, Alteryx and Tableau can help. This paper will show you how.
The document discusses the history and evolution of online job searching from the early 1990s to present day. It traces key developments like the introduction of job boards and boards, rise of sites like LinkedIn and Monster, growth of applicant tracking systems (ATS), and increasing automation of the job search and application process. The role of ATS in sorting and filtering candidates is also examined, along with tips for job seekers on optimizing resumes and applications to get past the "black hole" these systems can create.
Fact is: virtually all large organizations use ATS. 75% of CVs are never seen by a recruiter*. Landing a job via a job ad (with ATS) has worked for 18% of our clients – experienced managers & executives! 5 years ago that number was 0%!
Having a CV that is legible by programs is crucial. Is your CV “ATS-compliant”? Find out! It’s often the difference between getting an interview or not.
Send us your CV for a free review and you’ll receive an “ATS CV Compliance Report”.
Email: Bichl.Sandra (at) CareerAngels.eu
Subject: ATS Report
*acc. to TopResume
The document discusses the importance of tracking the results and ROI of recruitment advertising spending. It outlines the "Four A's" process to maximize ROI: 1) Assign responsibility for tracking to someone on the recruiting team. 2) Automate tracking through the applicant tracking system (ATS) using automated source codes. 3) Analyze cost per applicant and cost per hire metrics to determine top and low performing sources. 4) Adjust spending by shifting budget to top performing sources and discontinuing low performers based on the data analysis. Implementing this process helps ensure recruitment advertising spending is optimized.
Career Hacking: Episode 1 - Resume HackingLocalWork.com
This document discusses resume hacking by tailoring your resume to the specific job descriptions you are applying for. It recommends finding 3 ideal job postings and creating a spreadsheet to highlight the required skills, experience, and qualifications mentioned. The resume should then be modified to include the same keywords, phrases, and specifics called out in the job descriptions to increase the chances of it being picked up by resume parsing software which screens candidates based on keywords. Proper resume hacking takes work but can get the resume ranked higher and make it more likely to be seen by a recruiter.
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and gives you an actionable candidate list.
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This document discusses using Hadoop to parse and process resumes received in various formats like documents and text. It proposes a system that can extract data from large volumes of resumes automatically without human involvement. Key components include resume parsing using Apache Tika, storing resumes in HDFS, identifying skills and tags using MapReduce, and recommending jobs to candidates based on their profiles. The system aims to reduce manual handling of resumes and provide suggestions to users about missing information in an efficient distributed manner using Hadoop.
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Join Richard Harbridge to learn about actionable techniques to improve, simplify and amplify your leadership, business analysis and information architecture efforts with Office 365. Walk away with improved confidence when dealing with business and non-technical related challenges of Office 365, and be familiarized with effective tools and techniques that make Office 365 implementations more successful.
Dashboards- Take a closer look at your dataNathan Watson
Dashboards present key business data in a visual format to help users identify important trends and metrics at a glance. Well-designed dashboards use preattentive visual cues like color, size, and position to help the brain process information quickly. Contemporary Analysis helps companies create intuitive dashboards that focus on presenting only the most essential data in a simple, easy to understand manner.
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TASMO uses Artificial Intelligence to understand the Human Language. This is named "NLP" or Natural Language Processing. TASMO (a platform for the analysis of structured and non-structured big data, such as human language). It is currently being tested by security and intelligence national agencies for advanced use in the attempt to identify and preempt potential hostile (internal or external) agents. TASMO can also analyse tender data and allow to save 90% of the time usually dedicated to analyse offers or classify documents.
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What is parsing, and how to make a parsable CV
1. Author
www.jobtatkal.com
Shashibala
Morya
What is parsing, and
how to make a
parsable CV?
JUNE 23, 2023
Want to know how parsing can benefit you? Read this
document to discover all about parsing — what parsing
is and how to make a parsing-friendly CV.
2. Table
of
Content
03
Overview
04
What is parsing?
09
Popular use cases of
data parsing
13
Possible reasons why
your CV did not parse
16
How can a job seeker
create a parsing-
friendly CV?
17
Conclusion
11
How job seekers can
benefit from creating a
Parsable CV
18
Frequently Asked
Questions
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OVERVIEW
Recruitment is crucial for both established
multinational corporations (MNCs) and emerging
enterprises, as having the right team is essential for
business growth. However, traditional recruitment
processes, especially in sorting through CVs and
resumes, can be time-consuming and complex.
In response to these challenges, many recruiters are
opting for a more streamlined approach.
Simultaneously, job seekers invest considerable time
exploring opportunities across various platforms.
Here, parsing plays a key role, bridging the gap
between job seekers and recruiters by swiftly
analyzing CVs, extracting crucial information, and
facilitating a quicker screening process. Creating a
parsable CV is essential for job seekers to ensure
their qualifications stand out in this fast-paced
recruitment landscape.
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WHAT IS PARSING?
Identifying the structure and extracting the data is known as parsing.
It is the process of converting raw or illegible data into a well-
structured and readable format that you can understand easily.
Parser breaks down the source input into smaller chunks or parts,
such as nouns (objects), verbs (methods), and attributes. Here is a
set of grammatical rules for a fictional language:
<sentence> ::= <subject> <verb> <object>
<subject> ::= <article> <noun>
<article> ::= a | an
<noun> ::= lion | dog | cat
<verb> ::= humans | fed
<object> ::= <article> <noun>
Resume parsing is one of the subsets of parsing that helps job
seekers get their preferred job by parsing their CVs, including
important information extraction from CVs.
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STAGES OF DATA PARSING
LEXICAL ANALYSIS
After receiving the raw, unstructured data in the parser, lexical analysis
is the initial step. Here, the lexer is a scanner or tokenizer that converts
the data stream into a sequence of tokens.
In this step, tokens are generated by setting up meaningful lexical units,
like delimiters {one or more characters that separate text strings.;
common delimiters are commas (,), semicolon (;), quotes ( ", ' ), braces
({}), pipes (|), or slashes ( / )} and keywords. Meanwhile, lexically
irrelevant information, like parentheses, comments, and white spaces,
are eliminated.
Parsing undergoes different stages to figure out which data to read for
analyzing and transforming. Let’s explore the data parsing stages in
detail.
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SYNTACTIC ANALYSIS
To better understand, Syntactic analysis, it is crucial to understand a
vital concept from computer science - context-free grammar. A
context-free grammar is a set of rules that defines the syntax of a
language. In simple terms, it is a computer code to define the valid
sequence of tokens.
The syntactic analysis examines tokens generated during lexical
analysis to convert them to a meaningful sequence with pre-defined
rules.
As a result, there will be a parse tree — a hierarchical structure — to
define what elements of initial input are meaningful along with their role.
For instance, the received input is (X+4)*5. Let’s understand what the
parsing tree will be like for this input.
Additionally, there is also semantic analysis, which helps enrich the data
— such as complete, incomplete, positive, negative, etc — parsed
through syntactic analysis.
STAGES OF DATA PARSING
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WHAT ARE PARSING TECHNIQUES?
There are two types of parsing techniques used to examine the raw
data, namely:
TOP-DOWN PARSER
A top-down parser is a method that parses inputs from left to right
using left-most derivation (LL). It starts processing from a string that
validates the input by expanding from the leftmost element of the parse
tree. For example, starting from the root and proceeding toward the
leaves.
Top-down parsing, also known as recursive descent parsing,
backtracks after each decision point to double-check accuracy.
BOTTOM-UP PARSER
A bottom-up parser is a method to parse input from left to right using
the right-most derivation (LR). It starts processing a string by
expanding the rightmost element of the parse tree. For example,
starting from the leaves and proceeding towards the root.
Bottom-up parsing is also known as shift-reduce parsing, which
reduces the word from a grammar rule at each stage in the string, and
this approach reduces the string until it is completely checked.
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POPULAR USE CASES OF DATA PARSING
Now you have the basic information about parsing, let’s explore how
the top industries are leveraging the power of data parsing:
FINANCE AND ACCOUNTING
Data parsing is used by several banks and NBFCs to scrape through
billions of customer data and extract critical information from apps.
With this parsed data, they analyze credit reports, investment
portfolios, income verification, and offer better insights about
customers. The finance sector uses parsing to establish interest rates
and loan repayment periods post-data extraction.
SHIPPING AND LOGISTICS
Industries that offer online products or services extract billing and
shipping details using data parsers. Parsers help them to arrange
shipping labels and ensure the correct data format.
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POPULAR USE CASES OF DATA PARSING
REAL ESTATE INDUSTRY
Here, lead data is extracted from emails of property owners and
builders. The data extraction for CRM platforms can be done with
parsing technology and documentation process to forward it to real
estate agents. Parsing plays an important role in the real estate industry
for making purchases, rentals, sales, and more.
INVESTMENTS ANALYSIS
The investment world is full of information from multiple sources, and
factors like the stock market, bank rates, earnings, and currency affect
their market. A little delay can cause severe financial losses to
investors. Therefore, data parsing saves investors by enabling them to
analyze large datasets and receive required details in a structured
format.
HUMAN RESOURCE
The recruitment industry has drastically adopted AI. One of its aspects
is resume parsing, which plays a significant role in connecting job
seekers to recruiters. With resume parsing, recruiters can extract vital
information from candidates' CVs that match their criteria.
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HOW JOB SEEKERS CAN BENEFIT FROM
CREATING A PARSABLE CV
Undoubtedly, you can directly connect with companies or recruiters,
but it consumes a large amount of time in searching and applying for a
job. Consider the parsing technology's role in online job applications for
boosting visibility and securing your dream job.
It helps in highlighting your CV in front of recruiters. Let’s discover the
benefits of having a parsable CV.
HIGH-VISIBILITY
Recruiters or Talent Acquisition Specialists search for candidates in an
ATS as we search for food using a food ordering app. The recruiters get
a lot of profiles to choose from, and if your CV isn’t parsable, you won’t
appear in the search results regardless of the relevancy.
MATCHING JOB REQUIREMENTS
When recruiters look out for candidate profiles using job sites, they
receive profile recommendations based on their keyword inputs. If your
CV is not parsed correctly, it will fail to show your profile even if it
contains relevant search keywords.
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HOW JOB SEEKERS CAN BENEFIT FROM
CREATING A PARSABLE CV
PLATFORM-FRIENDLY
Parsing-friendly CVs are versatile and can be shared across multiple
platforms like online job portals, company websites, and email
attachments. It maintains user readability and integrity with various
systems and devices.
You can try JobTatkal — an AI-powered software that can parse your
CV or resume and grab the job opportunities you are looking for, and
help recruiters quickly reach out to you if you have successfully
uploaded and parsed your CV.
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POSSIBLE REASONS WHY YOUR CV DID
NOT PARSE
Now that you are well versed in the importance of having a parsable CV
for job seeking, you might be zealous to upload your CV and broadcast
it among recruiters. But what if you get stuck while uploading your CV
or receive an error message like “Parsing failed” or “some issues in
parsing your CV”?
There may be several reasons for failed data parsing, but we have
enlisted some common reasons when CV didn’t parse.
WHY DID MY CV PARSING FAIL & HOW CAN I
RESOLVE IT?
Here is a troubleshooting section for you where we will explore the
possible reasons why your CV did not parse and the ways to resolve
them easily.
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PROBLEM 1: NOT A PARSING-FRIENDLY CV
If your CV contains images, watermarks, unselectable text, graphics,
and illustrations, then your CV is not ideal for parsing. Additionally,
there are chances that your file may get corrupted.
Solution: Make your CV parsing-friendly
To make it a parsing-friendly CV, use plain text and extensions like pdf
and docx. You should avoid the usage of images, watermarks,
unselectable text, graphics, and illustrations.
PROBLEM 2: LARGE FILE SIZE
Another reason can be the large file size of your CV, which is greater
than what the platform permits for parsing the documents.
Solution: Check the size of your CV
Usually, 2.5 MB is the maximum file size to parse any CV, or you can
once check the website to know the maximum file size.
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PROBLEM 3: PASSWORD-PROTECTED CV
Your CV can’t be parsed if you are using a password-protected file for
parsing, as the parser will not be able to access the document’s
content.
Solution: Remove password protection before uploading
You need to make sure that your CV is free from password protection.
PROBLEM 4: TECHNICAL GLITCHES
If your CV is free from the above-mentioned issues and still unable to
get parsed, it might be a network or server issue.
Solution: Check your network connection
You can restart your network connection (or retry after some time).
Sometimes, a temporary glitch in the browser can be a reason for failed
data parsing. Perhaps, clearing the browser cache and refreshing the
page can help.
16. “Do I need to create a new CV for optimum parsing?” If that's what you
are thinking right now, then we have some good news. You don’t need
to create a new CV from scratch; just a few cosmetic tweaks can turn
your non-parsable CV into a fully parsable one.
If you don’t want to miss the chance of getting your CV highlighted in
front of recruiters, we have curated some tips to enhance your resume
and make it a parsing-friendly CV.
Try using a standard font style like Calibri or Cambria, or other Sans
fonts because fancy fonts might confuse the parser while
processing your data.
Make sure to use a URL instead of a hyperlink because parsing
doesn’t process the hyperlinks in your data.
Avoid using tables and columns because it will be difficult for the
parser to understand the right data connection in tables.
Using proper headings like “email”, “summary”, “academic detail”, “
experience”, “skills”, “designation”, “contact”, “location”, etc. It
makes your CV detail-oriented and makes it easier for the parser to
structure the information.
Make sure that your CV is in reverse-chronological order, starting
from current work experience to the oldest.
Avoid using extra spacing in your CV
You can also download your LinkedIn profile as a PDF, which can act
as a highly parsable CV.
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HOW CAN A JOB SEEKER CREATE A
PARSING-FRIENDLY CV?
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CONCLUSION
Now that you are covered up with the fundamentals of parsing and all
the things related to it, what else are you looking for? It’s time to put
things into perspective!
Upload your CV on JobTatkal and witness the power of parsing. As a
cherry on top, you will also attract relevant job opportunities using our
platform.
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FREQUENTLY ASKED QUESTIONS
1) WHICH INDUSTRIES CAN BENEFIT FROM PARSING?
There are several industries that need the data in different forms. For
instance, finance and accounting, shipping and logistics, real estate
industry, investment analysis, human resource, and many other
industries that work with users' data in large numbers are using parsing
technology.
2)WHY SHOULD I USE RESUME PARSING?
Resume parsing extracts the key components of your CV, like name,
contact details, work experience, skills, etc., and turns it into a well-
structured data format that helps job seekers in creating high visibility
with parsing technology and finds their dream job easily.
3) HOW CAN JOBTATKAL ASSIST JOB SEEKERS?
JobTatkal is an AI-powered job site that helps job seekers to upload
their CVs and attract recruiters with their parsed CVs. Recruiters will be
able to access your profile when it matches their job description.
19. Looking for a dream job?
Scan the QR code to upload your CV or visit
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