Okay so, you’re here because you’re thinking about what machine learning or data science could do for your business. Maybe you’ve got a mountain of data and no idea what to do with it, or you’ve heard about AI and want to see if it’s more than just hype. I’ve seen a lot of businesses in New Haven and beyond get caught up in the idea of 'AI' without a clear path. My approach is different: it’s about solving a real problem you have, with the right tools, whether that’s a bit of data analysis or building a predictive model.
I’m not gonna promise a magic wand. What I *will* promise is a clear, step-by-step process that focuses on delivering actual value. We’ll start small, see what’s feasible, and then build from there. It's kinda like hiring a really good mechanic: I'll tell you what's broken, what it'll take to fix it, and what you can expect afterward. No surprises, just getting things running smoothly.
## What I actually do for New Haven clients
Most of my work with New Haven businesses falls into a few buckets. Sometimes, it’s getting a handle on existing data – finding patterns in customer behavior, optimizing inventory, or identifying areas where you’re losing money without realizing it. We'll often start with a 'data audit' to see what you've got and what insights are hiding in plain sight. It’s surprising what a fresh pair of eyes can find when they’re not bogged down in day-to-day operations.
Other times, it’s building a specific machine learning model. Think things like predicting sales trends, automating customer support routing, or flagging potential fraud. I’ve helped folks build a pilot model for a new product recommendation engine, or set up a system to automatically categorize incoming support tickets. It’s always about finding a specific, measurable problem and building a piece of software that helps solve it.
## How a New Haven engagement usually goes
Here’s a rough idea of what to expect if we work together:
1. **Discovery (Week 1-2):** We’ll spend a couple of weeks really digging into your business and your data. I’ll talk to you and your team, look at what systems you have, and understand the problem you’re trying to solve. This isn't just me asking questions; it's me learning your world. I'll then put together a proposal outlining the scope, expected outcomes, and a timeline. 2. **Pilot / Prototype (Weeks 3-8):** Assuming we agree on a plan, I usually start with a small, focused project. This could be a proof-of-concept model, a detailed data analysis report, or a small automation script. The idea is to deliver something tangible quickly so you can see the value and we can refine the approach based on real-world feedback. This phase is crucial for making sure we're on the right track. 3. **Development & Iteration (Weeks 9+):** Once the pilot shows promise, we’ll move into full development. This is where I build out the solution, fine-tune models, integrate with your existing systems (if needed), and test everything thoroughly. It’s an iterative process, meaning we’ll be constantly checking in, making adjustments, and ensuring the solution truly meets your needs. I’ll keep you in the loop every step of the way. 4. **Deployment & Handoff (Varies):** When the solution is ready, I’ll help you get it deployed and running in your environment. My goal isn’t to create a black box you can’t understand. I’ll make sure you and your team know how to use it, maintain it, and get the most out of it. I'm available for ongoing support, but I aim for you to be self-sufficient.
## What it costs, roughly
Look, I'm not gonna pretend this is free. Good data science and machine learning work takes time and expertise. Most of my projects are fixed-fee engagements, meaning we agree on the scope and a price upfront, so you don't have to worry about hourly creep. For smaller, focused engagements, like a data audit or a prototype, you're usually looking at a few thousand dollars. Larger, more complex projects involving model building and system integration can range from the mid-five figures upwards, depending on the complexity and duration. I’m always transparent about costs and will give you a clear quote before any work begins. No surprises, I promise.
## Who I'm usually NOT a fit for
I want to be upfront about this. I'm probably not the right fit if you're looking for a huge consulting firm with dozens of junior analysts. I'm a solo operator; you'll work directly with me. Also, if you don't have any data at all, or your data is in such disarray that it's unusable, we might need to do some foundational data cleanup first, which isn't always my primary focus. And honestly, if you're just looking for 'AI' because it's a buzzword and don't have a clear business problem in mind, I'll probably tell you to hold off. I want to deliver real value, not just sell you something you don't need. My services are for businesses in New Haven that have a specific challenge they think data or ML could help with.
## Getting in touch
If any of this resonates with you, and you're a business owner in New Haven, Connecticut, who's ready to explore what practical machine learning or data science can do for you, let's chat. The best way to start is to book a 20-min call with me. We'll talk about your situation, and I can give you some initial thoughts. No pressure, just a conversation to see if there's a good fit.
FAQs — New Haven
How do I know if Machine Learning is worth it for my New Haven business?
The best way to figure this out is to identify a specific, recurring problem your business faces. If that problem involves a lot of data, or could be made more efficient with prediction or automation, then it's likely a good candidate for machine learning. We can discuss your specific challenges on a call.
Do you work with companies outside New Haven?
Yes, absolutely. While I'm highlighting New Haven here, I work with businesses across the United States. My remote operating model means I can assist clients effectively no matter their location.
What does the first 2 weeks of an engagement look like?
The first two weeks are all about discovery. I'll immerse myself in your business, review your existing data, and clarify the problem we're trying to solve. This phase culminates in a clear proposal outlining the project scope and expected outcomes.
I have a lot of data but it's disorganized. Can you still help?
Yes, I can. Often, getting data into a usable format is the first step. While I focus on machine learning and data science, I can certainly help assess your data's state and recommend initial steps to make it ready for analysis, or even handle some of that cleanup myself.
What kind of results can I expect from a typical project?
You can expect measurable, practical results directly tied to your business problem. This could be anything from a reduction in manual work, improved accuracy in predictions, clearer insights from your data, or a pilot application that demonstrates the potential value of a larger investment.