Data Dictionary: Multi-source Employee API
On this page, you'll find detailed information about Coresignal's Multi-source Employee data. Each category includes a table listing the available data points, their explanations, data types, and sample code snippets.
Metadata
created_at
The date and time when the employee record was created
String (date)
updated_at
The date and time when the employee record was last fully updated
String (date)
checked_at
The date and time when the employee record was last checked partially
String (date)
changed_at
The date and time when the employee record was last changed
String (date)
experience_change_last_identified_at
The date and time when the employee record change was last identified
String (date)
is_deleted
Marks if the employee record is deleted or private
1 – the record is deleted
0 – the record is not deleted
Number (integer)
is_parent
Notes if the employee record is the main employee profile:
1 – the record is parent (main)
0 – the record is not parent
Number (integer)
See a snippet of the dataset for reference:
"created_at": "2024-07-27T01:56:27.000",
"updated_at": "2024-10-23T05:50:09.000",
"checked_at": "2025-10-23T05:50:09.000",
"changed_at": "2025-11-21T06:30:1.000",
"experience_change_last_identified_at": "2024-10-25T06:30:10.000",
"is_deleted": 0,
"is_parent": 1Identifiers and URLs
id
Coresignal's identification key for an employee profile record. Taken from the professional network dataset.
Number (integer)
parent_id
Parent category identification key
Number (integer)
historical_ids
Historical identification keys that are related to the same profile after URL change
Array of strings
professional_network_url
Most recent profile URL on professional network
String
professional_network_shorthand_names
Historical variations of shorthand names for the employee
Array of strings
public_profile_id
Public profile ID
Number (long)
See a snippet of the dataset for reference:
"id": 12389891,
"parent_id": 12389891,
"public_profile_id": 123456789,
"historical_ids": [
12389891,
11589843
],
"professional_network_url": "https://www.professional_network.com/in/john-doe-18729383",
"professional_network_shorthand_names": [
"real-john-doe"
"john-doe-1992"
],Employee information
full_name
Employee's full name
String
first_name
Employee's first name
Parsed from the full_name
String
first_name_initial
First name initial
Parsed from first_name
String
middle_name
Employee's middle name
Parsed from the full_name
String
middle_name_initial
Middle name initial
Parsed from middle_name
String
last_name
Employee's last name
Parsed from the full_name
String
last_name_initial
Last name initial
Parsed from last_name
String
picture_url
Picture URL
String
connections_count
Count of profile connections
Number (integer)
followers_count
Count of profile followers
Number (integer)
interests
Employee's interests
Array of strings
See a snippet of the dataset for reference:
"full_name": "John Doe",
"first_name": "John",
"first_name_initial": "J",
"middle_name": "Michael",
"middle_name_initial": "M",
"last_name": "Doe",
"last_name_initial": "D",
"picture_url": "https://static.lnk.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2"
"connections_count": 472,
"followers_count": 3190,
"interests":
[
"hiking",
"snowboarding",
"cycling",
]Professional contact information
primary_professional_email
Employee's business email address tied to their workplace
String
primary_professional_email_status
The confidence level in the accuracy of the employee's business email address. The field will return four options: verified, matched_email, ``matched_pattern, orguessed_common_pattern.
String
professional_emails_collection
Collection of employee's business email addresses
Array of structs
professional_email
Employee's business email address
String
professional_email_status
The confidence level in the accuracy of the employee's professional email address. The field will return four options:
verified– the email was matched and verified
matched_email– the email was matched but could not retrieve "verified" statusmatched_pattern– the exact email was not matched, but it was guessed based on the matched email pattern for the companyguessed_common_pattern– neither the exact email nor the email pattern for that company was matched, but the most common global pattern was guessed
String
order_of_priority
Order of priority based on confidence in email validity
Number (integer)
See a snippet of the dataset for reference:
"primary_professional_email": "[email protected]",
"primary_professional_email_status": "matched_pattern",
"professional_emails_collection": [
{
"professional_email": "[email protected]",
"professional_email_status": "matched_pattern",
"order_of_priority": 1
},
{
"professional_email": "[email protected]",
"professional_email_status": "matched_pattern",
"order_of_priority": 2
},
{
"professional_email": "[email protected]",
"professional_email_status": "matched_pattern",
"order_of_priority": 3
}
]Location
location_country
Associated country
String
location_country_iso2
ISO 2-letter code of the location country, based on their location_country value.
String
location_country_iso3
ISO 3-letter code of the location country, based on their location_countryvalue.
String
location_full
Full location
String
location_regions
Associated geographical regions based on their location_country value
Array of strings
See a snippet of the dataset for reference:
"location_country": "United States",
"location_country_iso2": "US",
"location_country_iso3": "USA",
"location_full": "San Diego, California, United States",
"location_regions": [
{
"region": "Americas"
},
{
"region": "Northern America"
},
{
"region": "AMER"
}
]Experience and workplace
Active experience overview
headline
Profile headline
String
summary
Main description (employee summary)
String
services
Offered services
String
is_working
Marks if the employee is currently employed
1 – the employee is currently working
0 – the employee is currently not working
Number (integer)
active_experience_company_id
Coresignal's identification key for a company to identify where the employee is currently working
Number (integer)
active_experience_title
Title of employee's current position
String
active_experience_description
Description of the current position
String
active_experience_department
A list of employee's departments, based on actve_position_title
String
active_experience_management_level
A list of employee's management levels, based on active_experience_title
String
is_decision_maker
Marks if the employee is a decision maker, based on active_experience_title
1 – the employee is a decision maker
0 – the employee is not a decision maker
Number (integer)
See a snippet of the dataset for reference:
"headline": "Data Analyst | Machine Learning Enthusiast",
"generated_headline": "Data Specialist – Predictive Analytics",
"summary": "<p>Passionate about uncovering insights from data and applying machine learning techniques to solve global problems.</p>",
"services": "Data Analysis, Machine Learning Consulting, Business Intelligence",
"is_working": 1,
"active_experience_company_id": 4127532,
"active_experience_title": "Senior Data Analyst",
"active_experience_description": "Leading data-driven projects, building predictive models, and optimizing business intelligence strategies.",
"active_experience_department": "Engineering and Technical",
"active_experience_management_level": "Senior",
"is_decision_maker": 1Skills
inferred_skills
Lists employees' skills based on the descriptions from the profile
Array of strings
historical_skills
Historical skills
Array of strings
See a snippet of the dataset for reference:
"inferred_skills": [
"cloud computing",
"data analysis",
"deep learning",
"software development",
"system architecture",
"troubleshooting",
"web development"
]Experience duration
total_experience_duration_months
Total normalized experience duration of all Employee's experiences
Number (integer)
total_experience_duration_months_breakdown_department
Total normalized experience duration by employee's department
Array of structs
department
Department
String
total_experience_duration_months
Experience duration in months
String
total_experience_duration_months_breakdown_management_level
Total normalized experience duration by Employee's management level
Array of structs
management_level
Employee's management level
String
total_experience_duration_months
Experience duration in months
String
See a snippet of the dataset for reference:
"total_experience_duration_months": 85,
"total_experience_duration_months_breakdown_department": [
{
"department": "C-Suite",
"total_experience_duration_months": 13
},
{
"department": "Marketing",
"total_experience_duration_months": 30
},
{
"department": "Finance & Accounting",
"total_experience_duration_months": 14
},
{
"department": "Engineering and Technical",
"total_experience_duration_months": 28
}
],
"total_experience_duration_months_breakdown_management_level": [
{
"management_level": "C-Level",
"total_experience_duration_months": 10
},
{
"management_level": "Intern",
"total_experience_duration_months": 3
},
{
"management_level": "Senior",
"total_experience_duration_months": 4
},
{
"management_level": "Specialist",
"total_experience_duration_months": 40
},
{
"management_level": "Manager",
"total_experience_duration_months": 18
}
]Full experience information
experience
Work experience the Employee has
Array of structs
active_experience
Identifies if this is a current (active) position
String
position_title
Employee's position title
String
department
Employees department
String
management_level
Employee's management level
String
location
Job/workplace location
String
date_from
Employment start date
String (date)
date_from_year
Employment start year
Integer
date_from_month
Employment start month
Integer
date_to
Employment end date
String (date)
date_to_year
Employment end year
Integer
date_to_month
Employment end month
Integer
duration_months
Employment duration in months
Integer
description
Employment description
String
See a snippet of the dataset for reference:
"experience": [
{
"active_experience": 0,
"position_title": "Senior Data Analyst",
"department": "Data Science",
"management_level": "Mid-Level",
"location": "San Francisco, California, United States",
"date_from": "March 2020",
"date_from_year": 2020,
"date_from_month": 3,
"date_to": "July 2022",
"date_to_year": 2022,
"date_to_month": 7,
"duration_months": 126
}
]Workplace details
Metadata and firmographics
company_id
Company record identification key in Coresignal's database
Integer
company_name
Company name
String
company_type
Company type
String
company_founded_year
Founding year
String (date)
company_size_range
Company size based on employee count range (as selected by the company profile administrator)
String
company_employees_count
Number of employees that associated their experience with the company
Integer
company_categories_and_keywords
Categories and keywords are assigned to the company profile and products across various platforms
Array of strings
company_employees_count_change_yearly_percentage
Company employee count change (percentage)
Number (double)
company_industry
Company's industry
String
company_last_updated_at
The last update date of the record in the YYYY-MM-DD format
String (date)
company_is_b2b
Indicates if the company operates in a business-to-business model:
1 – b2b company
0 – b2c company
Integer
order_in_profile
The order number of the workplace in the profile
Integer
See a snippet of the dataset for reference:
"company_id": 87272276,
"company_name": "Company123, LLC",
"company_type": "Privately Held",
"company_founded_year": "2023",
"company_size_range": "51-200 employees",
"company_employees_count": 157,
"company_categories_and_keywords": [
"Data Analysis",
"AI",
"Management",
"Consulting",
],
"company_employees_count_change_yearly_percentage": 17.43222222222222
"company_industry": "Manufacturing",
"company_last_updated_at": "2025-02-03",
"company_is_b2b": 1,
"order_in_profile": 1Social media
company_followers_count
Company's profile follower count on professional network
Integer
company_website
Company's website
String
company_facebook_url
Company's Facebook URL
Array of strings
company_twitter_url
Company's X (Twitter) URL
Array of strings
company_linkedin_url
Company's LinkedIn URL
String
See a snippet of the dataset for reference:
"company_followers_count": 527712,
"company_website": "https://www.company1.com",
"company_facebook_url": [
"https://www.facebook.com/company1global",
"https://www.facebook.com/company1"
],
"company_twitter_url": [
"https://www.x.com/company1"
],
"company_linkedin_url": "https://www.linkedin.com/company/company1"Financials
company_annual_revenue_source_1
company_annual_revenue_source_5
Company's revenue from a specific source
Array of objects
company_annual_revenue_currency_source_1
company_annual_revenue_currency_source_5
Revenue currency
String
company_last_funding_round_date
Date when the last funding round was announced in YYYY-MM-DD format
String (date)
company_last_funding_round_amount_raised
Amount raised in the last funding round
Integer (long)
company_stock_ticker
Company's stock ticker information
Array of objects
exchange
Stock exchange
String
ticker
Stock ticker
String
See a snippet of the dataset for reference:
"annual_revenue_source_5": 32590000,
"annual_revenue_currency_source_5": "$",
"annual_revenue_source_1": 878728373,
"annual_revenue_currency_source_1": "$",
"company_last_funding_round_date": "2014-03-25",
"company_last_funding_round_amount_raised": 200 000,
"stock_ticker": [
{
"exchange": "NASDAQ",
"ticker": "AAPL"
}
]Workplace locations
company_hq_full_address
Full address of the company's headquarters
String
company_hq_country
The country where the company's headquarters is located
String
company_hq_regions
Detailed region where the company's headquarters is located
Array of strings
company_hq_country_iso2
ISO 2-letter code of the headquarters country
String
company_hq_country_iso3
ISO 3-letter code of the headquarters country
String
company_hq_city
Headquarters city
String
company_hq_state
Headquarters state
String
company_hq_street
Headquarters street address
String
company_hq_zipcode
Headquarters zip code
String
See a snippet of the dataset for reference:
"company_hq_full_address": "123 Data Drive, Analytics City, CA 94016, USA",
"company_hq_country": "United States",
"company_hq_regions": [
"Americas",
"Northern America",
"AMER"],
"company_hq_country_iso2": "US",
"company_hq_country_iso3": "USA",
"company_hq_city": "Analytics City",
"company_hq_state": "California",
"company_hq_street": "123 Data Drive",
"company_hq_zipcode": "94016",Education
last_graduation_date
Last graduation date
String (date)
education_degrees
List of education degrees held by the person
Array of strings
education
Employee's education
Array of objects
degree
Degree name
String
description
Degree description
String
institution_url
Institution's profile URL
String
institution_name
Institution's name
String
institution_full_address
Institution's full address
String
institution_country_iso2
ISO 2-letter code of the institution's country
String
institution_country_iso3
ISO 3-letter code of the institution's country
String
institution_regions
Institution's region
Array of strings
institution_city
Institution's city
String
institution_state
Institution's state
String
institution_street
Institution's street
String
institution_zipcode
Institution's zip code
String
date_from_year
Enrollment date
Number (integer)
date_to_year
Graduation date
String (date)
activities_and_societies
Activities and societies that are connected with the employee
String
order_in_profile
Order in profile
Number (integer)
See a snippet of the dataset for reference:
"last_graduation_date": 2022,
"education_degrees": [
"Bachelor of Science, Computer Science Engineering, 9.12 (Rank: 4/80)",
"Senior Secondary, Mathematics, 93%",
"Higher Secondary, Science, 96%"
],
"education": [
{
"degree": "Bachelor of Science, Computer Science Engineering, 9.12 (Rank: 4/80)",
"description": "Focused on core sciences with a strong foundation in Physics and Chemistry.",
"institution_url": "https://www.topuniversity.edu",
"institution_name": "Top University",
"institution_full_address": "Top University, 123 Main St, Cityville, State 12345, USA",
"institution_country_iso2": "US",
"institution_country_iso3": "USA",
"institution_regions": [
"North America",
"East Coast"
],
"institution_city": "Cityville",
"institution_state": "State",
"institution_street": "123 Main St",
"institution_zipcode": "12345",
"date_from_year": 2014,
"date_to_year": 2016,
"activities_and_societies": "Science Fair, Debate Team",
"order_in_profile": 1
},
]Salary
Projected base salary
projected_base_salary_p25
Minimum projected base salary for the current position (25th percentile)
Number (double)
projected_base_salary_median
Median projected base salary for the current position
Number (double)
projected_base_salary_p75
Maximum projected base salary for the current position (75th percentile)
Number (double)
projected_base_salary_period
Data collection period
String
projected_base_salary_currency
Salary currency
String
projected_base_salary_updated_at
Data last update date
String (date)
See a snippet of the dataset for reference:
"projected_base_salary_p25": 105432.56,
"projected_base_salary_median": 120785.90,
"projected_base_salary_p75": 145430.78,
"projected_base_salary_period": "ANNUAL",
"projected_base_salary_currency": "USD",
"projected_base_salary_updated_at": "2025-02-03"Projected additional salary
projected_additional_salary
Projected additional salary
Array of structs
projected_additional_salary_type
Projected additional salary type for the current position
String
projected_additional_salary_p25
Minimum projected additional salary for the current position (25th percentile)
Number (double)
projected_additional_salary_median
Median projected additional salary for the current position
Number (double)
projected_additional_salary_p75
Maximum projected additional salary for the current position (75th percentile)
Number (double)
projected_additional_salary_period
Data collection period
String
projected_additional_salary_currency
Salary currency
String
projected_additional_salary_updated_at
Data last update date
String (date)
See a snippet of the dataset for reference:
"projected_additional_salary": [
{
"projected_additional_salary_type": "Cash Bonus",
"projected_additional_salary_p25": 7654.21,
"projected_additional_salary_median": 10234.56,
"projected_additional_salary_p75": 14123.78
},
{
"projected_additional_salary_type": "Stock Bonus",
"projected_additional_salary_p25": 8892.10,
"projected_additional_salary_median": 11754.93,
"projected_additional_salary_p75": 16123.12
}
]
"projected_additional_salary_period": "ANNUAL",
"projected_additional_salary_currency": "USD",
"projected_additional_salary_updated_at": "2024-12-06"Projected total salary
projected_total_salary_p25
Minimum projected total salary value for the current position (25th percentile)
Number (double)
projected_total_salary_median
Median projected total salary value for the current position
Number (double)
projected_total_salary_p75
Maximum projected total salary value for the current position (75th percentile)
Number (double)
projected_total_salary_period
Data collection period
String
projected_total_salary_currency
Salary currency
String
projected_total_salary_updated_at
Data last update date
String (date)
See a snippet of the dataset for reference:
"projected_total_salary_p25": 142763.21,
"projected_total_salary_median": 153290.88,
"projected_total_salary_p75": 165432.19,
"projected_total_salary_period": "ANNUAL",
"projected_total_salary_currency": "USD",
"projected_total_salary_updated_at": "2025-02-12",Profile field changes
profile_root_field_changes_summary
Summary of the field-level changes
Array of structs
field_name
Name of the data field
String
change_type
Type of the data field change
String
last_changed_at
Date of the last data field change
String (date)
profile_collection_field_changes_summary
Summary of changes in profile collection fields
Array of structs
field_name
Name of the collection data field
String
last_changed_at
Data of the last collection data field change
String
See a snippet of the dataset for reference:
"profile_root_field_changes_summary": [
{
"field_name": "followers_count",
"change_type": "updated",
"last_changed_at": "2023-07-18T09:22:45.567"
},
{
"field_name": "summary",
"change_type": "updated",
"last_changed_at": "2025-02-18T09:22:45.567"
}
],
"profile_collection_field_changes_summary": [
{
"field_name": "experience",
"last_changed_at": "2024-01-05T17:48:12.892"
},
{
"field_name": "activity",
"last_changed_at": "2025-02-05T17:48:12.892"
}
]Recent experience changes
experience_recently_started
Collection of identified recently started Employee experiences
Array of structs
company_id
Coresignal's identification key for a company record
String
company_name
Company name
String
company_url
Professional network URL of the company
String
company_shorthand_name
Shorthand name of the company's Professional network URL
String
date_from
Start date of the experience record
String
date_to
End date of the experience record
String
title
Position title in the company
String
identification_date
Date when experience change was identified
String
experience_recently_closed
Collection of employee experiences that ended recently
Array of structs
company_id
Coresignal's identification key for a company record
String
company_name
Company name
String
company_url
Professional network URL of the company
String
company_shorthand_name
Shorthand name of the company's Professional network URL
String
date_from
Start date of the experience record
String
date_to
End date of the experience record
String
title
Position title in the company
String
identification_date
Date when experience change was identified
String
See a snippet of the dataset for reference:
"experience_recently_started": [
{
"company_id": 3124502,
"company_name": "Company1, LLC",
"company_url": "https://www.professional_network.com/company/company1-llc",
"company_shorthand_name": "company1-llc",
"date_from": "Nov 2024",
"date_to": "Dec 2024",
"title": "Senior Software Engineer",
"identification_date": "2024-11-19T15:34:29.412"
},
],
"experience_recently_closed": [
{
"company_id": 3124504,
"company_name": "Company3, LLC",
"company_url": "https://www.professional_network.com/company/company3-llc",
"company_shorthand_name": "company3-llc",
"date_from": "Jul 2021",
"date_to": "Oct 2024",
"title": "Software Engineer",
"identification_date": "2024-12-14T10:48:37.215"
}
]Recommendations
recommendations_count
Number of recommendations from other users
Number (integer)
recommendations
List of recommendations received
Array of structs
recommendation
Recommendation text
String
referee_full_name
The full name of the person who wrote the recommendation
String
referee_url
The URL of the profile of the person who wrote the recommendation
String
order_in_profile
The exact position of the recommendation in the profile
Number (integer)
See a snippet of the dataset for reference:
"recommendations_count": 2,
"recommendations": [
{
"recommendation": "“I had the pleasure of collaborating with John during his time at Tech Innovations, where he displayed a rare combination of creativity and technical expertise. He consistently demonstrated outstanding problem-solving skills, particularly in software engineering and AI. His attention to detail and collaborative spirit made him a valuable asset to the team. John is also a great mentor who is always ready to share his knowledge with others, making him a true team player.”",
"referee_full_name": "Jane Doe 1",
"referee_url": "https://www.professional_network.com/in/jane-doe-1",
"order_in_profile": 1
},
{
"recommendation": "“John’s drive and determination have impressed me from our first interaction during a project at Company1 Solutions. He has an extraordinary ability to tackle complex challenges and has a passion for both technology and team collaboration. His contributions were key to the success of several high-profile projects. He is an individual who thrives in dynamic environments and continuously seeks to innovate and improve processes.”",
"referee_full_name": "Jane Doe 2",
"referee_url": "https://www.professional_network.com/in/jane-doe-2",
"order_in_profile": 2
}
]Activity
activity
User's activity (posts)
Array of structs
activity_url
Post URL
String
title
Post title
String
action
Activity type
String
order_in_profile
The exact position of the activity in the profile
Number (integer)
See a snippet of the dataset for reference:
"activity": [
{
"activity_url": "https://www.professional_network.com/posts/johndoe_ai-innovations-and-the-future-of-tech-activity-1234567890123456789-XYZ",
"title": "Excited to share my thoughts on the future of AI and its impact on industries worldwide. The advancements in machine learning are opening new doors…",
"action": "Liked by",
"order_in_profile": 1
}
]Awards
awards
Awards held by the person
Array of structs
title
Award title
String
issuer
Award issuer
String
description
Award description
String
date
Award date
String
date_year
Award year
StringNumber (integer)
date_month
Award month
Number (integer)
order_in_profile
The exact position of the award in the profile
Number (integer)
See a snippet of the dataset for reference:
"awards": [
{
"title": "Outstanding Achievement Award",
"issuer": "Top University",
"description": "Recognized for exceptional contributions to student initiatives and leadership in organizing university-wide events.",
"date": "March 15, 2024",
"date_year": 2024,
"date_month": 3,
"order_in_profile": 1
}
]Courses
courses
Courses
Array of structs
organizer
Course organizer
String
title
Course title
String
order_in_profile
The exact position of the course in the profile
Number (integer)
See a snippet of the dataset for reference:
"courses": [
{
"organizer": "AI Certification",
"title": "Machine Learning Fundamentals",
"order_in_profile": 1
},
{
"organizer": "CS Academ",
"title": "Advanced Algorithms and Data Structures",
"order_in_profile": 2
},
]Certifications
certifications
Certifications
Array of structs
title
Certification title
String
issuer
Certification issuer
String
issuer_url
Issuer profile URL
String
credential_id
Credential identification key
String
certificate_url
Certification URL
String
date_from
Certification issue date
String (date)
date_from_year
Issue year
Number (integer)
date_from_month
Issue month
Number (integer)
date_to
Certification expiry date
String (date)
date_to_year
Expiry year
Number (integer)
date_to_month
Expiry month
Number (integer)
order_in_profile
The exact position of the certification in the profile
Number Array
See a snippet of the dataset for reference:
"certifications": [
{
"title": "Advanced Data Analysis",
"issuer": "Certification Company 123",
"issuer_url": "https://www.certificationcompany123.com",
"credential_id": "EFGH98765432",
"certificate_url": "https://www.certificationcompany123.com/certificates/f44f9027fba14efb953da9db849e5ed2",
"date_from": "Nov 2023",
"date_from_year": 2023,
"date_from_month": 11,
"date_to": "Nov 2024",
"date_to_year": 2024,
"date_to_month": 11,
"order_in_profile": 1
}
]Languages
languages
Language knowledge
Array of structs
language
Listed language
String
proficiency
Language proficiency
String
order_in_profile
The exact position of the language in the profile
Number (integer)
See a snippet of the dataset for reference:
"languages": [
{
"language": "English",
"proficiency": "Full professional proficiency",
"order_in_profile": 1
},
{
"language": "Spanish",
"proficiency": "Limited working proficiency",
"order_in_profile": 2
},
{
"language": "French",
"proficiency": "Professional working proficiency",
"order_in_profile": 3
}
]Patents
patents_count
Number of authored patents
Number (integer)
patents_topics
Patent topics
Array of strings
patents
Authored patents
Array of structs
title
Patent title
String
status
Patent status
String
description
Patent description
String
patent_url
Patent URL
String
date
Patent filing date
String (date)
date_year
Filling year
Number (integer)
date_month
Filling month
Number (integer)
patent_number
Patent number
String
order_in_profile
The exact position of the patent in the profile
Number (integer)
See a snippet of the dataset for reference:
"patents_count": 1,
"patents_topics": "Data Analysis",
"patents": [
{
"title": "Advanced Data Analysis Using Neural Networks",
"status": "Granted",
"description": "A novel approach to data analysis leveraging deep learning techniques to improve accuracy in predictive modeling and data interpretation.\\n<!----> </p>",
"patent_url": "https://example123.com/patent/data-analysis-neural-networks",
"date": "September 10, 2023",
"date_year": 2023,
"date_month": 9,
"patent_number": "US112233445A1",
"order_in_profile": 1
}
]Publications
publications_count
Count of publications authored by the employee
Number (integer)
publications_topics
Publication topics
Array of strings
publications
Authored publications
Array of structs
title
Publication title
String
description
Publication description
String
publication_url
Publication website URL
String
publisher_name
Publication publisher
Array of strings
date
Publication release date
String (date)
date_year
Release year
Number (integer)
date_month
Release month
Number (integer)
order_in_profile
The exact position of the publication in the profile
Number (integer)
See a snippet of the dataset for reference:
"publications_count": 1,
"publications_topics": [
"Machine Learning in Healthcare Applications"
],
"publications": [
{
"title": "Machine Learning-Based Heart Disease Prediction",
"description": "This research focuses on utilizing machine learning techniques to predict heart diseases by analyzing EKG signals, a part of my project from June'21 to December'21.\\n<!----> </p>",
"publication_url": "https://www.researchpaper123.net/publication/343632915_Machine_Learning",
"publisher_names": [
"John Doe",
"Jane Doe"
],
"date": "December 15, 2021",
"date_year": 2021,
"date_month": 12,
"order_in_profile": 1
}
]Projects
projects_count
Count of total projects listed in the profile
Number (integer)
projects_topics
Topics related to the projects listed in the profile
Array of strings
projects
Projects created by the profile
Array of structs
name
Project name
String
description
Project description
String
project_url
Project website URL
String
date_from
Project start date
String (date)
date_from_year
Project start year
Number (integer)
date_from_month
Project start month
Number (integer)
date_to
Project end date
String (date)
date_to_year
Project end year
Number (integer)
date_to_month
Project end month
Number (integer)
order_in_profile
The exact position of the project in the profile
Number (integer)
See a snippet of the dataset for reference:
"projects_count": 1,
"projects_topics": [
"Predictive Analytics in Complex Systems",
"Real-time Facial Expression Analysis for Emotional Intelligence Systems",
"Design and Simulation of Adaptive Actuators for Smart Materials",
"Audio Signal Separation for Enhanced Speech Recognition",
"Non-Invasive Glucose Monitoring Using Spectroscopic Data Analysis"
],
"projects": [
{
"name": "Predictive Analytics for Fault Detection in Complex Mechanical Systems",
"description": "As part of a research initiative, a predictive system was developed to identify anomalies in mechanical systems. The project utilized historical failure data and machine learning models.</p>",
"project_url": "https://www.projecturl123.net/project/123456_Analytics",
"date_from": "Oct 2018",
"date_from_year": 2018,
"date_from_month": 10,
"date_to": "May 2019",
"date_to_year": 2019,
"date_to_month": 5,
"order_in_profile": 1
}
]Organizations
organizations
Memberships in organizations
Array of structs
organization_name
Organization title
String
position
Position in the organization
String
description
Description of the activity/experience in the organization
String
date_from
Membership start date
String (date)
date_from_year
Membership start year
Number (integer)
date_from_month
Membership start month
Number (integer)
date_to
Membership end date
String (date)
date_to_year
Membership end year
Number (integer)
date_to_month
Membership end month
Number (integer)
order_in_profile
The exact position of the organization in the profile
Number (integer)
See a snippet of the dataset for reference:
"organizations": [
{
"organization_name": "Tech Club",
"position": "Event Coordinator",
"description": "Led and organized data-driven workshops and events, focusing on data analytics and machine learning applications in various industries.",
"date_from": "Feb 2016",
"date_from_year": 2016,
"date_from_month": 2,
"date_to": "Mar 2018",
"date_to_year": 2018,
"date_to_month": 2,
"order_in_profile": 1
}
]Last updated
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