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LinkedIn OSINT Assessment: Daniel P.

Generated: Jun 29, 2026

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Daniel P. Profile Picture

Daniel P.

Person

Online Presence (1 verified)

Daniel P. on linkedin linkedin View +7 more Email Reveal

Bottom Line Up Front

This is a credible, public LinkedIn profile that strongly matches Daniel P., a Senior Associate in Data Analytics at KPMG US in Greater Philadelphia. The profile shows a conventional career path, verified status, and modest but real engagement on two posts. I do not see strong impersonation indicators from the available evidence.

Key Judgments

The profile is strongly attributed to a real individual named Daniel P. based on matching name, location, employer, title, education history, and a verified LinkedIn account.

Almost certain High Confidence

The account shows normal professional behavior rather than obvious scam or bot-like activity.

Likely Moderate Confidence

There is limited evidence of broader social presence from the curated dataset, so linked-account mapping remains incomplete.

Almost certain High Confidence

Risk Assessment

14%
Low Risk

Analytic confidence in this assessment is high.


Identity resolution

Live Intel Map

Resolved Primary Identity

Daniel P.

Assessment

The strongest available match is the verified LinkedIn profile at linkedin.com/in/daniel-p-0a1b40127. The profile aligns across name, Philadelphia/Greater Philadelphia location, KPMG US employment, Senior Associate title, Data Analytics headline, University of Pittsburgh and Temple University education history, and a consistent public posting trail. The available evidence supports a real professional identity rather than a synthetic or impersonation profile.

Resolved Identifiers

full name

Daniel P.

location

Greater Philadelphia

employer

KPMG US

job title

Senior Associate

school

University of Pittsburgh

school

Fox School of Business at Temple University

organization

KPMG US LinkedIn company page

Online presence

Daniel P.

linkedin • Public

Location: Greater Philadelphia
Category: Data Analytics

Linkage Basis:

  • Direct profile match
  • Verified status
  • Employer and education consistency
  • Post authorship match
View +7 more accounts Email Reveal

Account OSINT

Top Associated Accounts

The visible network is institution-heavy rather than person-heavy. It centers on employers and schools, which fits a conventional professional profile. No strong individual social ties were exposed in the curated evidence.

K

KPMG US

employee_employer

LinkedIn profile and post history

"Current employer and primary professional affiliation."

T

Temple University Fox School of Business

school

LinkedIn education history and post history

"Graduate program completed in 2021."

U

University of Pittsburgh

school

LinkedIn education history

"Undergraduate education background."

G

GSK

organization

LinkedIn employment history

"Early career internship role in 2020."

A

ADP

organization

LinkedIn employment history

"Prior business services role before KPMG."

G

GIANT Food Stores, LLC

organization

LinkedIn employment history

"Earlier retail associate role in Pennsylvania."

Who is Daniel P. associated with?

Reveal the Linkedin accounts Daniel P. is connected to and interacts with most.

Reveal Associates »

Account Timeline

The subject looks like a low-volume, professional LinkedIn user who posts milestone updates rather than frequent commentary. The career timeline is coherent and advances in a standard way from internships to associate and senior associate roles.

Education Change

University of Pittsburgh, 2015-2019; Temple University, 2019-2020

Sequential education history supports a conventional student-to-professional transition.

Job Change

GSK intern in Jul 2020, then KPMG EVS ES intern in Jul-Aug 2020, then KPMG Associate in Mar 2021, then Senior Associate in Oct 2023

The timeline shows normal progression with no obvious gaps or suspicious jumps.

Latest Post

2021-01-14: completed MS in Business Analytics at Temple University

The posting window captures a milestone announcement aligned with the education record.

Activity Gap

Only two posts were present in the curated evidence, with the most recent dated 2021-01-14

The available feed is sparse, so it is not possible to assess current posting frequency confidently.

Interactive Graph

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Intelligence gathered

Strong Identifiers And Pivots

  • The profile is publicly visible, verified, and named Daniel P., with a direct match to the seed URL and public ID daniel-p-0a1b40127.
  • The profile ties Daniel P. to KPMG US, Senior Associate, Data Analytics, and Greater Philadelphia.
Intelligence Gaps 2
  • No phone number or email was exposed in the curated record.
  • No full surname was provided in the source data.

Weak Identifiers And Background Markers

  • The subject appears to have started with retail and service roles in Pennsylvania before moving into analytics and professional services.
  • Connection count is 250, which is modest and consistent with a working professional rather than a mass-network or influencer pattern.
Intelligence Gaps 2
  • No bio/about section was available.
  • No certifications, endorsements, or skills list were provided in the curated evidence.

Account Attribution And Identity Linkage

  • Attribution is strong because the curated search result explicitly labels this as the best candidate and matches the profile's location, company, title, and headline.
  • The profile image analysis does not suggest AI generation or deepfake characteristics, which slightly reduces impersonation concern.
Intelligence Gaps 1
  • No second independent live source was available to validate the profile outside the curated feed.

Online Presence And Platform Activity

  • Only two LinkedIn posts were present in the curated evidence, both career-oriented and self-authored.
  • No credible linked accounts were resolved on Facebook, Instagram, X, GitHub, YouTube, Pinterest, or TikTok.
Intelligence Gaps 2
  • Posting history is sparse in the dataset, so it is hard to infer long-term activity volume.
  • No external engagement metrics or comments beyond LinkedIn were collected.

Behavioral Markers And Preferences

  • The content style is straightforward and professional, focused on education and work milestones.
  • The subject seems comfortable with public career announcements, which is typical for LinkedIn users in professional services.
Intelligence Gaps 2
  • No evidence of political, personal, or controversial posting was captured.
  • No like/comment network analysis was available beyond raw engagement counts.

Temporal Markers And Activity Windows

  • Work history shows a clear progression: internships and early roles in 2016-2020, then KPMG US from 2020 onward, with a promotion to Senior Associate in October 2023.
  • A post in January 2021 announces completion of the Temple University MS program, and an October 2019 post announces the upcoming KPMG internship.
Intelligence Gaps 2
  • No exact account creation date was available.
  • No detailed recent activity timestamps beyond the two posts were provided.

Best next moves

Priority 1 person

Confirm Daniel P.'s identity against a resume or HR record

The LinkedIn profile is a strong match, but the display name is generic and the full surname is not shown in the curated data. A second source would close the loop for any hiring or trust decision.

Daniel P.
Priority 2 person

Check for a personal website or portfolio tied to Daniel P.

A portfolio, GitHub, or personal domain could provide a second attribution layer and help confirm the analytics background shown on LinkedIn.

Daniel P.
Priority 3 organization

Review KPMG US employment and title consistency

The current employer and promotion timeline are internally consistent, so this is the best anchor point for any deeper verification.

KPMG US
Recommended WatchDog

Monitor this Linkedin account for changes

Track handle changes, bio edits, profile removals, and new signals without re-checking this account manually.

Daniel P.

Risks & recommendations

Identified Risks

3 risks

⤷ 3 additional risks found in this analysis

Impersonation

Almost certainly not

Low current risk that the LinkedIn profile is fake or a spoof, because the evidence is internally consistent and verified.

Horizon: Near-term

Recruiting and due diligence

Likely

The profile is useful for professional vetting, but the lack of a full surname means you should still corroborate if the decision is high stakes.

Horizon: Near-term

OSINT coverage gap

Almost certain

Broader identity resolution remains limited because the curated evidence did not confirm any adjacent accounts.

Horizon: Near-term

Recommendations

2 actions

⤷ 2 recommended courses of action

Verify Daniel P.'s identity with a second independent source

3 steps

Use a resume, company email, or offline credential to confirm the LinkedIn profile before relying on it for hiring or trust decisions.

Compare the profile name, job title, and employer against a supplied CV or HR record. Confirm the employment dates and education timeline. A mismatch appears in employer, dates, or education.

Map adjacent professional presence for Daniel P.

3 steps

Look for a portfolio site, conference profile, GitHub, or other professional account that uses the same name and location pattern.

Search for Daniel P. plus KPMG, Data Analytics, Philadelphia, and Temple University. Check whether any profile links back to the LinkedIn URL or shares the same photo. A matching portfolio or personal domain is found.

Data sources

Source Registry

4 sources
Source ID / Type Description Grading (Src/Info)
eval_1
social profile
Structured LinkedIn profile record for Daniel P. at linkedin.com/in/daniel-p-0a1b40127
Coverage: Name, location, employer, education, work history, connections, verification, and profile metadata
SRC A
INFO 1
eval_2
post
Two LinkedIn posts authored by the subject
Coverage: Career announcement and education completion announcement with engagement metrics
SRC A
INFO 1
eval_3
metadata
Profile image analysis signal for the LinkedIn avatar
Coverage: Deepfake/AI-generation screening on the profile image
SRC A
INFO 2
eval_4
username search
Curated social search and person search results for Daniel P.
Coverage: Candidate account matching across LinkedIn, Facebook, Instagram, Twitter, GitHub, YouTube, Pinterest, and TikTok
SRC B
INFO 2

Follow Up Questions

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Suggested questions

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Who is most likely behind this LinkedIn profile?
What evidence most strongly supports the attribution?
Are there any credible linked accounts outside LinkedIn?
Does the profile show any signs of impersonation or AI-generated imagery?
What additional source would best confirm the identity?
Analyst Briefing

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648 data points collected