Okay so, you're on a city page. You're probably wondering if I'm just another big agency trying to sound local. Nope. It's just me. I set up these pages to make it easier for folks like you in Minneapolis to find me. I don't pretend to be your neighbor, but I *do* promise a direct, no-nonsense approach to getting machine learning and data science projects done. No fluff, no buzzwords – just practical solutions that make a real difference to your bottom line.
I get it, you're busy. You probably have a business to run, and the idea of diving deep into 'data pipelines' or 'model deployment' sounds like a headache. My job is to take that headache away. I'm here to translate complex AI concepts into actionable steps for your Minneapolis business, whether that's predicting sales, automating a tedious task, or understanding your customer data better. I'm not gonna promise the moon, but I *will* promise a clear path and an honest assessment of what's possible.
## What I actually do for Minneapolis clients
Most of my work for businesses in Minneapolis involves taking a specific problem and finding a data-driven solution for it. That might mean building a predictive model to forecast demand for your products, helping you segment your customer base for more effective marketing, or even setting up a system to automatically categorize incoming support tickets. It's about finding those points where a little bit of smart automation or insight can save you a lot of time or make you more money.
I often start with pilot projects. Maybe you have a dataset you've been sitting on, and you're not sure what to do with it. I can help you explore it, identify patterns, and then build a small proof-of-concept. For example, I recently worked with a distribution company to predict potential equipment failures a few days in advance. That kind of insight can really help with inventory and maintenance planning. It's about getting a tangible win, not just talking about potential.
## How a Minneapolis engagement usually goes
Here’s how I typically work with my clients, whether you're in Minneapolis or anywhere else:
1. **Initial Chat (Week 1):** We'll have a 20-minute call to discuss your business and the problem you're trying to solve. No sales pitch, just a direct conversation to see if there's a good fit. If it seems like I can help, I'll ask for some more details, maybe some sample data if it's relevant, and put together a project proposal.
2. **Project Definition & Planning (Weeks 2-3):** If you like the proposal, we’ll dive deeper. I'll work with you to clearly define the project scope, deliverables, and success metrics. This is crucial for making sure we're both on the same page. We'll outline data requirements and figure out how to get everything I need securely.
3. **Development & Iteration (Weeks 4-12, varies):** This is where I do the heavy lifting – data cleaning, model building, testing, and deployment. I'll keep you updated regularly, usually with weekly check-ins, showing you progress and getting your feedback. My goal is to deliver something that works, not just a theoretical report.
4. **Deployment & Handoff (Week 12+):** Once the solution is built and tested, I'll help you integrate it into your existing operations. I provide documentation and, if needed, some basic training so your team can use it effectively. My aim is for you to be self-sufficient, but I'm always available for follow-up support if things get tricky.
## What it costs, roughly
I know budget is a big concern for any Minneapolis business owner. My projects typically range from a few thousand dollars for a focused data analysis or a small pilot project, up to mid-five figures for more complex machine learning model development and deployment. I prefer fixed-fee arrangements whenever possible, so you know exactly what you're paying upfront, no surprises. For longer engagements or where the scope is less defined initially, I can also work on a retainer or hourly basis, but I always try to get to a fixed price as quickly as possible once the scope is clear.
## Who I'm usually NOT a fit for
I'm pretty upfront about this: I'm probably not the right choice if you're looking for a massive, multi-year, 'digital transformation' initiative with a team of twenty consultants. That's just not what I do. I also generally don't work with highly regulated industries that require extensive compliance paperwork and certifications that are beyond the scope of a solo operator. If you're looking for someone to build a complex mobile app or a new e-commerce platform from scratch, that's not my wheelhouse either. I focus on specific, data-driven problems that can be solved with machine learning and data science, usually within a few months, not years.
## Getting in touch
If any of this sounds like what your Minneapolis business needs, then let's talk. The easiest way is to head over to my contact page and book a 20-min call. We can figure out if I can genuinely help you move your business forward.
FAQs — Minneapolis
How do I know if AI is worth it for my Minneapolis business?
The best way to figure this out is to think about a repetitive task or a decision you make often that relies on lots of data. If you have data related to that problem, chances are AI or data science can help you make better, faster decisions or automate parts of that task.
Do you only work with companies in Minneapolis?
No, I work with businesses all across the United States. While I'm not physically in Minneapolis, I'm adept at working remotely and have successful clients nationwide.
What does the first 2 weeks of an engagement usually look like?
After our initial chat, the first couple of weeks are spent defining the project in detail, including what data we'll need and what a successful outcome looks like. It's about getting a really clear picture before any heavy lifting starts.
What kind of data do you typically need to get started?
It depends on the project, but generally, I need structured data from your business operations—things like sales records, customer interactions, inventory levels, or operational logs. The cleaner and more organized the data, the faster we can get to insights.
Will I own the machine learning models you develop for my business?
Absolutely. Any custom models or code I develop specifically for your project and your data are fully yours upon completion and payment. I provide all necessary documentation and files for your ownership.