Wallaroo.AI

Senior Sales Engineer, Data Science & Machine Learning

Qlik

● Led technical ML conversations during sales cycles, contributing to multiple 5- and 6-figure
deals and aligning PoCs with business goals.
● Acted as AI strategy advisor from ideation to implementation, accelerating time-to-value.
● Mentored junior engineers, translating academic theory into impactful, real-world data
science applications.

Lead Data Science Engineer

Pythian

● Designed and deployed cloud-based ML solutions with automated MLOps pipelines.
● Facilitated feasibility workshops to assess data readiness and business alignment.

Machine Learning Engineer / Solutions Architect

Stradigi AI

● Consulted on ML adoption and implementation, enabling clients to automate workflows and
derive insights.
● Delivered custom ML prototypes that converted leads into customers.
● Guided clients in feature engineering and data extraction to maximize project impact.

Machine Learning Solutions Architect

Wavemaker

● Lead client facing data science projects, along with data science projects related to internal
operations.
● Partnered with senior leadership and international data teams to data science projects for
global clients

Data Scientist

● Partnered with internal and external business intelligence teams to develop and deliver data
science solutions.
● Applied advanced analytics techniques to extract actionable insights from complex client
datasets.
● Used an array of tools in order to engineer data pipelines from 10+ marketing platforms and
databases for use in data science projects for multiple Fortune 100 clients.

Senior Data Analyst

Harry Rosen

● Leveraged SQL and Python data science packages to mine, clean, and analyze large datasets
across transactions, loyalty, customer, product, and web data.
● Led end-to-end analytic projects in cross-functional teams, collaborating with stakeholders
across departments to deliver actionable insights.
● Created and deployed customer-facing analytics solutions using loyalty and profile data, as
part of a small team managing data and analytics across the entire business.

Data Analyst

Avanade

Analyst

The Hospital for Sick Children

Project Analyst (Co-op)

Ivanhoé Cambridge

Asset Management and Operations Information Intern

University Health Network

Corporate Intranet Analyst (Co-op)

My free data science content beats those you'd pay for.

If you made it this far, you're probably here because you read the tech headlines every day and see AI news flooded everywhere. You then think to yourself, "am I missing the AI train?" 

You already have a lot on your plate, and these AI terms, tech and advancements aren't helping. 

You're told you need data to get ahead with AI, but nobody tells you what kind of data. 

You think about starting an AI team, but everyone's expensive, hiring is hard, and delivering value is even harder. 

You then think to purchase 1 of the 1000 off-the-shelf AI products, but which one? Evaluating them is hard. 

Everything AI seems like an uphill battle. 

I get it. 

I've helped countless business leaders navigate AI, while helping brainstorm use cases that bring companies hundreds of thousands of dollars in value. 

I've helped them understand what is and isn't possible with their data. I also have experience evaluating off-the-shelf AI tools to see if they're delivering what they promised. 

Let's have a video call and chat AI over a coffee. I'm buying.

Akmel Syed

naas.ai

Leading the development of an open Universal Data & AI Platform to help organizations create powerful ecosystems of AI assistants

- Leveraging ontologies as a unifying field between data, AI models, workflows, analytics, and external systems
- Driving innovation in making data and AI accessible and affordable for organizations of all sizes
- Overseeing product development, business strategy, partnerships and team management

Founder & CEO

Forvis Mazars Group

Advising on projects from strategy to execution for Data & AI Products

- Focusing on creating profitable, auditable, and trustworthy AI solutions for clients
- Providing expert guidance on integrating data and AI technologies into business processes
- Assisting in developing strategies for AI adoption and implementation across various industries
- Collaborating with cross-functional teams to ensure successful delivery of data and AI initiatives

Senior Advisor, Data & AI Services

University at Buffalo

Conducting research on how executable ontologies can serve as a universal method for AI assistants/agents alignment, explainability, and compliance

- Exploring the intersection of philosophy, technology, and business in the context of AI systems
- Contributing to academic publications and presentations in the field of applied ontology and AI
- Collaborating with interdisciplinary teams to advance the understanding and application of ontologies in AI

Research Associate in Applied Ontology, Department of Philosophy

CashStory

Automation services company for business professionals.

- Developed a framework to help professionals approach data, automation & AI through Education and Open source products.
- Trained business professionals on how to take back control over their data and build an infinite solution maker mindset.
- Strived to build a better way to see financial & extra-financial information for wiser decision making, taking into consideration environmental issues & well being as much as cash, profit and value.

Founder

Technip

Technip, Paris, France (World leader in project management and engineering in the energy industry | Listed on NYSE EURONEXT CAC 40) 

Corporate Cash Manager, Group Treasury Department, April 2013 – Present  

Group Treasury Cash Management

• Perform daily treasury management and driving global liquidity initiatives
• Monitor Cash flows (by nature and by projects), Debt and Working Capital Requirement actuals and forecasts.
• Drive implementation of new structures to maximize cash available at HQ and minimize operational cash balances 
• Work with the treasury senior management on board/other executive presentations
• Develop sound relationships with banking partners for  Working Capital Management, Financial result optimization
• Act in constant relation with internal constituencies (Strategy, Group Consolidation, Tax, Legal, IT, Compliance)

Strategic Business Systems & Process Management 

• Project Manager/Administrator of the Group Treasury Systems (Diapason / Treasury Management Software, Hyperion / Business Intelligence tool) focusing on the continuous development of new functionalities. and implementation of the TMS
• Define cash management and Treasury system architecture of the future
• Lead cross organizational partnership for proposed treasury and finance strategy
• Develop clear project plans and ownership metrics (KPI’s) to drive accountability and execution throughout the group treasury organization.

Group Cash Manager

ESI Group

ESI Group, Paris, France (Pioneer and world-leading provider in Virtual Prototyping | Listed on NYSE EURONEXT Part C) 

Corporate Cash Controller, Financial Controlling, July 2011 – April 2013 

• Work closely with Board members (CEO, CFO, Director of Financial Operations) to integrate Cash in the financial monitoring of the group: development of Cash-flow reporting process, Balance Scorecard KPI's, bi-monthly cash flow anaysis consolidation, monthly usage during the Board. 

• In depth analysis of the financial impact of French R&D Tax Credit (Crédit d'impôt recherche), Taxes and Working Capital Management

• Build operating excel models at local and group level to challenge Cash forecast direct method

Cash Control Project Manager

Brittany Ferries

Onboard Sales

Schneider Electric

Schneider Electric, Chartres de Bretagne, France (Worldwide energy solution provider | Listed on NYSE EURONEXT Part A) 

Supply Chain Financial and Administrative Intern, Region EMEA and Asia Pacific, March 2009 – June 2009 

• Contact with clients/providers for credit collection (means and delay of payment) 

• Internal logistics control, order entry and invoicing and follow-up on orders in SAP  

• Relationship with logistics companies and shipping agents

Supply Chain Financial and Administrative intern

Comité National Olympique et Sportif Français

Membre du Club France aux Jeux Olympiques de Pékin 2008, Novotel Xin Qiao, Pékin, Chine
Au sein de l’équipe Réceptions/Bar: organisation events officiels & médias, soirées des médaillés, permanence journalière

Volontaire, Jeux Olympiques de Pékin 2008 (Beijing 2008)

Parker Hannifin

Mission in 2 subsidies : New Delhi, Inde (May 2008), Singapore (June 2008)
Objective : realize a qualitative study before the launch of a new product in Asia (focus on India)

Marketing Intern (May 2008 : New Delhi,Inde + June 2008 : Singapour)

⚡️ Building @naas.ai - open source data platform | Stanford LEAD alumni | Data strategy & mentoring

I'm Jeremy Ravenel. I’m a farm boy turned data mercenary and now an entrepreneur, I'm passionate about practical innovation to make our digital lives less chaotic.

I help people and companies create data & AI products that make their work easier and more efficient.

My journey started in finance about a decade ago. I thought I was entering an automated business world, but reality hit when I had to build reports using Excel and VBA. Spending more time producing than analyzing wasn't what I had in mind.

Out of frustration, I learned to code. I discovered Python and Jupyter notebooks, and suddenly, things that took hours were done in seconds. This led me to found CashStory, where we helped big French companies bridge the gap between business and tech teams.

Now, I'm working on something really challenging. At Naas.ai, we're building an open Universal Data & AI Platform. Our goal is to help any organization create their powerful ecosystem of AI assistants; leveraging ontologies as a unifying field between data, AI models, workflows, analytics, and external systems.

But that's not all. I'm also diving into research on Applied Ontology at the University at Buffalo, looking at how we can make AI systems more understandable and trustworthy. I'm also advising companies on Data and AI from strategy to execution with Forvis Mazars.

This mix of research, hands-on platform development, and strategy is something I’ve been dreaming about. I'm feeling very grateful for the opportunity to do what I'm passionate about at the intersection of philosophy, tech, and business.

I think anyone should be able to turn their data into a valuable asset. I try to build bridges to make it happen.

If you're curious about how data and AI can make your work easier and more impactful, let's connect!
Here is my email: jeremy@naas.ai

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