Ai Scientist & Manager, Kpmg Ai & Data Labs
Current
Jun 2024 - Present
AeroLeads people directory · profile
Abhinav Raghunathan Email & Phone Number
AI @ KPMG, Founder of EAIDB
at
KPMG US
1 work email found
@vanguard.com
2 phones found area 609
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Who is Abhinav Raghunathan? Overview
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Quick answer
Abhinav Raghunathan is listed as AI @ KPMG, Founder of EAIDB at KPMG US, based in New York, United States. AeroLeads shows a work email signal at vanguard.com, phone signal with area code 609, and a matched LinkedIn profile for Abhinav Raghunathan.
Abhinav Raghunathan previously worked as AI Scientist & Manager, KPMG AI & Data Labs at Kpmg Us and Founder at Ethical Ai Database (Eaidb). Abhinav Raghunathan holds Master Of Science In Engineering, Data Science from University Of Pennsylvania.
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Email format at KPMG US
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{first}_{last}@vanguard.com
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Profile bio
About Abhinav Raghunathan
I bring high-impact, cutting-edge, and cost-efficient AI solutions to life at large enterprises. I have a strong track record of carrying challenging AI R&D projects (involving LLMs as well as traditional ML) to completion, and rely on my project management skills, communication, and technical ability.My research and writing has been featured in outlets such as Towards Data Science, Open Data Science (ODSC), TEDx UT Austin, and Forbes. I also run the Ethical AI Database (EAIDB, eaidb.org), a market research and consulting firm that zeroes in on the responsible AI enablement industry.
Listed skills include Entrepreneurship, Data Science, R, Robotics, and 10 others.
Current workplace
Abhinav Raghunathan's current company
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11 roles
Abhinav Raghunathan work experience
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Founder
Current• Founded a market R&D organization that tracks, organizes, and catalogues ~300 startups in the responsible AI enablement space.• Consulted for various international governments, venture capital firms, and startups looking to understand the dynamics of this ecosystem.• Gave interviews and conference talks, led panels to raise awareness and promote companies in the database.
May 2022 - Present
Ai Scientist, Credit Research
• Led product development for Vanguard's premier Generative AI product (fixed income investor-centric RAG) from scratch with a full, open-source LLM stack. Project cited by CIO in various conferences.• Designed and built a system of LLMs featuring a novel, research-driven approach ("Mixture of Agents (MoA)," later researched by Together AI) that analyzes and produces insight from 30,000+ documents in under 60 seconds.• Product features a novel, research-driven approach for interacting with combinations of LLMs (called Mixture of Agents, paper pending).• Resultant product outperforms most modern equivalents and currently has ~100 users across use cases in active/passive funds and financial advisory services.
Jan 2023 - May 2024
Data Science Intern
• Leveraged Home Data Mortgage Act (HMDA) data to perform extensive analyses on the state of mortgage fairness in the USA (including intersectional and geographic fairness).• Implemented clustering techniques and designed metrics in a first-of-its-kind analysis of lender marketing fairness.
May 2022 - Dec 2022
Writer, Contributor
• Writer for "Towards Data Science" and "Towards AI," two popular online publications about topics in data science, machine learning, and artificial intelligence.
Jul 2018 - Dec 2022
Data Scientist Intern
• Implemented techniques in time series analysis including ARIMA models and online learning to perform statistical backtests and proof-of-concepts for several investment strategies.• Built a Python API to more efficiently interface with Refinitiv's financial data and streamline several common use cases.
Feb 2022 - May 2022
Data Scientist
• Implemented a Random Forest model to identify the best building targets for Starry's marketing team.• Utilized data stored in Snowflake, built models in R.
Feb 2022 - Apr 2022
Technical Lead
• Lead team of undergraduate students to identify cause of churn in Teach for America's (TFA) candidate matching procedure.• Performed clustering analyses (KMeans, DBSCAN, etc.) to identify application groupings.• Built a strong Random Forest model that exceeded 95% (0.94 AUC) on out-of-sample data.• Designed validation methodology and visualizations to pinpoint root cause and characterize TFA's locus of control.
Sep 2021 - Dec 2021
L/S Analyst
• Covered 150+ healthcare tickers for COVID-19 related financial updates• Performed in-depth industry research on the video gaming, chiropractic, and home furnishing industries• Implemented techniques in data science on third-party app data (AppAnnie, Sensor Tower)
Jun 2020 - Aug 2020
Fintech Engineer
• Worked with Python and Amazon Web Services on IHS Markit’s loan reconciliation software• Collaborated with Market Reconciliation Services (MRS) to automate loan tracking processes for 10+ financial clients and cut 50+ hours of manual labor• Finished service will add over $3M to WSO revenue
Jun 2019 - Aug 2019
Data Scientist
• Performed in-depth market research and feature analysis in voice technology• Created modeling algorithms to classify patients by a set of variables relating to patient activation• Developed Amazon Alexa Skills backend and API connectivity in NodeJS
Jun 2018 - Sep 2018
4 education records
Abhinav Raghunathan education
Master Of Science In Engineering, Data Science
University Of Pennsylvania
Bachelor Of Science, Computational Engineering
Cockrell School Of Engineering, The University Of Texas At Austin
Bachelor Of Science, Mathematics
The University Of Texas At Austin
Education record
West Windsor-Plainsboro High School North
FAQ
Frequently asked questions about Abhinav Raghunathan
Quick answers generated from the profile data available on this page.
What company does Abhinav Raghunathan work for?
Abhinav Raghunathan works for KPMG US.
What is Abhinav Raghunathan's role at KPMG US?
Abhinav Raghunathan is listed as AI @ KPMG, Founder of EAIDB at KPMG US.
What is Abhinav Raghunathan's email address?
AeroLeads has found 1 work email signal at @vanguard.com for Abhinav Raghunathan at KPMG US.
What is Abhinav Raghunathan's phone number?
AeroLeads has found 2 phone signal(s) with area code 609 for Abhinav Raghunathan at KPMG US.
Where is Abhinav Raghunathan based?
Abhinav Raghunathan is based in New York, United States while working with KPMG US.
What companies has Abhinav Raghunathan worked for?
Abhinav Raghunathan has worked for Kpmg Us, Ethical Ai Database (Eaidb), Vanguard, Fairplay Ai, and Towards Data Science.
How can I contact Abhinav Raghunathan?
You can use AeroLeads to view verified contact signals for Abhinav Raghunathan at KPMG US, including work email, phone, and LinkedIn data when available.
What schools did Abhinav Raghunathan attend?
Abhinav Raghunathan holds Master Of Science In Engineering, Data Science from University Of Pennsylvania.
What skills is Abhinav Raghunathan known for?
Abhinav Raghunathan is listed with skills including Entrepreneurship, Data Science, R, Robotics, Machine Learning, Html 5, Css3, and Javascript.
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