Vin Vashishta

AI Strategist | Monetizing Data & AI For The Global 2K Since 2012 | 3X Founder | Best-Selling Author

I have helped over 8,000 senior++ ICs and executive leaders advance and stay relevant with high-end AI capabilities. Courses & Certifications: https://datascience.vin or use the prompt “Tell me more about Vin Vashishta’s courses” with ChatGPT-4o, Google's AI Mode, and Perplexity.

Upskill your workforce to be AI-ready in 3 months: seminars@v2ds.com

Conference talks, brand partnerships, and thought leadership: partnerships@vinvashishta.com

Over 85% of AI projects fail to deliver a return on investment because they start with technology, not a business problem. I’m fixing that by empowering companies and training people to stop experimenting with AI and start monetizing it.

Define, align, and manage the business and technical transformations that turn C-level AI visions into products, productivity, and revenue. Since 2012, V Squared AI has worked with large enterprises to deliver over $3.7 billion in value.

My frameworks are built from working in the trenches. My practitioner-to-strategist journey allows me to bridge the critical gap between technical teams and the boardroom, ensuring that AI initiatives are not only technically sound but commercially viable.

Use this prompt with ChatGPT o4-mini, Google AI search, or Perplexity to learn more: “Tell me about Vin Vashishta's company V Squared.”

Partners: Dell Pro Max Ambassador & Gartner Ambassador.

Speaker’s Bio:

Vin Vashishta is an award-winning AI thought leader, best-selling author of ‘From Data to Profit,’ 3X founder with a successful exit, and CEO of V Squared AI, one of the first pure play data and AI consulting firms. The Wall Street Journal, Fast Company, and The Information have showcased Vin’s AI expertise.

He brings 30 years of experience in leadership, technical strategy, and hands-on technical product delivery. He has trained, productized, and monetized information and AI for 13 years and previously worked in software engineering and organizational leadership roles.

Founder & AI Advisor

Go with experience and a track record of success. V Squared is one of the oldest data and AI consulting companies in the world. Since 2012, that singular focus has built deep expertise in monetizing data, analytics, and AI.

V Squared's AI advisory services give clients clarity into the complete data and AI monetization journey. They trust us to implement frameworks that facilitate and streamline the journey. We provide expertise to remove roadblocks and avoid setbacks.

Our past and present clients include Airbus, Siemens, Walmart, JPMC, and over 20 SMEs.

Reach out for help with:
AI Product Strategy and Delivery
AI Strategy
Data & AI Organization Building and Scaling
Product Evangelization and Positioning

email: info@v2ds.com or DM me for more information.

Novel Intelligence Ltd

https://novelintelligence.ai/

•	Developing cutting-edge procurement analytics solutions

•	Analysing financial, HR and procurement data with the goal of enhancing cashflow, streamlining operations, and mitigating risks through prompt, objective, and actionable insights

•	Delivering Data Science training for non-technical leaders and professionals

Our purpose it to showcase that an approach that leverages elaborate data-science, original research and subject matter expertise, can give you the edge today. We have taken known questions and approaches, integrated them and taken them to the next level. 

Novel Intelligence analyses financial, HR and procurement data in order to increase cashflow, improve operational efficiencies and minimise risk through immediately actionable and objective insights.

Managing Founder

Grant Thornton UK LLP

•	Examining supply chain data, including procurement, supplier performance metrics to identify and minimise risk

•	Conducting advanced forensic data-analytics on diverse datasets, including financial, human resources, furlough, and supply chain data

•	Extracting meaningful insights by uncovering hidden patterns and anomalies that drove informed decision-making

•	Analysing furlough data to identify trends, address non-compliance, and ensure regulatory adherence

•	Providing data-science training for technical and non-technical professionals

Forensic Data Analytics Manager

•	Utilising Python for anomaly detection, contributing to the identification of irregularities in financial and procurement documents.

•	Designed and implemented a novel ROI-estimation algorithm that showcased significant potential to improve the detection and prevention of procurement fraud, surpassing traditional proof-of-concepts.

•	Conducted engaging and persuasive pre-sales activities by incorporating algorithm development into client presentations, resulting in increased client interest and successful conversions.

Technical Consultant (Data Science)

New Signature UK

•	Business Intelligence projects: Machine Learning (supervised classification including random forests, naïve Bayes, regression) and statistics (hypothesis testing, bootstrapping) on PYTHON using CRM/sales data 

•	Data Analytics using POWERBI: Generating sales, marketing and project management related dashboards/reports  

•	Data Strategy & Digital Transformation: Contributing to the company’s data-strategy, especially regarding governance and modernising data gathering
 
•	Pre-sales activities: Generating leads by attending conferences, ensuring internal and pre-sales data-science communications

•	Investment consultancy: Advising investors and stakeholders on AI investments

Data Science Consultant

Freelance

•	Ideation and innovation, writing project proposals
•	Invited speaker at various meetups, publishing articles on LinkedIn
•	Organising ‘The London Business BookClub’ 
•	Machine Learning on Python - Creating novel algorithms

Consultant

SKYRAD LIMITED

•	IoT POC: Algorithm Prototyping. Anomaly-detection algorithms (proof of concept) on MATLAB, using smart thermostat data (IoT).
•	Communicating the state and progress of the project, using clear ordinary language.

Data Scientist

The University of Huddersfield

•	Team Leading:  Setting up the Institute's High Performance Computing capabilities 
•	Principal Investigator:  Signal Processing project:  I developped novel algorithms (Anomaly Detection) for Asset Condition Monitoring (predictive maintenance) using data from Frauscher's Distributed Acoustic System. 
https://www.electronicsworld.co.uk/news/5517-fibre-optics-the-way-forward-to-detect-faults-on-the-railways
•	Principal Investigator:  Data analytics project that studies the changes of a train-engine’s fuel efficiency, when specific modifications are applied. 
•	Project Management: supervision of a final year BSc project related to the ARDUINO platform
•	Client-facing activities and high-level meetings with representatives of companies/organisations such as CISCO, FRAUSCHER, Virgin Trains, Great Western Railways, Northern Rail, RSSB, ATOC and other SMEs. I have also participated in multiple networking events and conferences, and authored project proposals and reports for industrial and European projects .

Industrial Fellow (Algorithm Development & Data Analytics / Railways Research)

Createc

•	Algorithm development for reconstructing the spatial distribution and intensity of nuclear radiation at facilities in Fukushima and Sellafield. These supervised learning algorithms were produced in the context of analysing large amounts of gamma-sensor data for the N-visage gamma-camera (solving inverse problems).  Clients of this service include but are not limited to MITSUBISHI, HITACHI, and SELLAFIELD. The main challenge in these algorithms was to identify an appropriate dimensionality reduction scheme, avoid over- and under-fitting, etc.
•	Algorithm development for quantifying the depth entrainment of radioactive wastes in concrete, using a non-invasive method (gamma spectrometer measurements on the surface of the wall). The client for this task was COSTAIN. Along with solving inverse problems, model-selection etc, the main challenge of this task was efficient synchronisation of signals containing a different number of channels. 
•	Algorithmic construction (including ray-tracing) of a novel 3D-printed collimator. This is to be utilised in the next generation of N-Visage gamma cameras.
•	Significant contributions (product research) regarding the delivery of a prototype rapid-imaging, lightweight gamma camera that can function in radiation-hard environments. This feasibility study was funded by the Japanese Government and presented as a poster at an international conference.


‘’A Novel Approach for Monitoring Highly Active Wastes”
 A. Shippen, K. Christodoulides, M. Mellor
 International Conference on Management of Spent Fuel from Nuclear Power Reactors: 
 An Integrated Approach to the Back End of the Fuel Cycle (2015)

Research Associate (Algorithm Development/ Nuclear Imaging/ R&D)

University of Debrecen (UD)

•	 Suggested new methods for solving different classes of differential equations and modelling physical systems. The results were published in:

     ‘‘Field Theoretical Lie Symmetry Analysis: The Mobius Group, Exact Solutions of Conformal 
      Autonomous Systems, and Predictive Model-Building.’’ 
      K. Christodoulides
      Communications in Nonlinear Science and Numerical Simulation (2014)

Postdoctoral Researcher (Applied Mathematics)

Neapolis University Pafos

•	Delivered introductory mathematics classes/tutorials to an undergraduate audience.

Teaching Assistant

Novel Intelligence combines data-science, forensic accounting and research expertise to deliver high ROI data projects

We analyse Financial, HR and Procurement data in order to detect and minimise risk, increase your cash flow and improve compliance and operational efficiencies through immediately actionable and objective insights


𝐌𝐢𝐧𝐢𝐦𝐢𝐬𝐞 𝐑𝐢𝐬𝐤

Enhance performance, especially in critical areas such as Fraud Detection, Risk Assessments for Financial Due Diligence, AML and Litigation Support.

Strengthen Assurance, Compliance and Internal controls by:

Eliminating human error through Detecting & Preventing Ambiguous Expenses

Identify Risky Vendors & Risky Employees 

Improve Data Quality

𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞
Enhance Cash Flow & Reduce Costs by:

Renegotiating & Better Negotiating Contracts

Improving Procurement Efficiency 


𝐀𝐮𝐠𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬
Improve Vendor Relationship Management

Promote Digital transformation

Train Employees & Vendors 

Improve Planning 


𝐓𝐡𝐢𝐧𝐤 𝐥𝐢𝐤𝐞 𝐚 𝐃𝐚𝐭𝐚-𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭
Ideation sessions

Corporate training

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Personal Information
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I’m a data-scientist and a Certified Fraud Examiner with a research background in physics and applied mathematics and I use my multidisciplinary experience towards leading and delivering high ROI data/procurement projects. A systems thinker with exceptional technical-communication skills. 

I'm passionate about continuous learning and personal development, hence I founded the London Business Bookclub.

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Vin Vashishta

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