Okay so, you're here because you're curious about machine learning or data science. Maybe you've got a pile of data and no idea what to do with it, or maybe you've heard AI can solve a specific problem for your Atlanta business. The truth is, it's not magic, but it can be really powerful when applied correctly. I'm not here to sell you a dream; I'm here to figure out if there's a practical, measurable way I can help you improve things.
I’ve spent years digging into data, building models, and automating processes for companies big and small. What I offer is a direct, no-nonsense approach to bringing these capabilities into your business. No huge teams, no endless meetings – just me, focused on delivering actual value. So, let's skip the corporate speak and get down to what matters: what can we build together that actually moves the needle for your bottom line here in Atlanta, Georgia.
## What I actually do for Atlanta clients
Most of my work involves taking an existing problem or opportunity and seeing if machine learning or data science can offer a smarter way to handle it. Think things like predicting customer churn, optimizing inventory levels based on past sales, identifying anomalies in financial transactions, or even automating complex data entry tasks that eat up your team's time. It's usually about finding patterns, making predictions, or automating decisions that are currently manual or inefficient.
For example, I recently helped a distribution company in Atlanta forecast demand for thousands of SKUs with much greater accuracy, which cut down on overstocking and stockouts. Another project involved building a custom natural language processing model for a service provider to categorize customer feedback automatically, giving them quicker insights into service quality. It’s about building a specific tool or model to solve a specific business problem, usually starting small to prove the concept.
## How a Atlanta engagement usually goes
1. **Initial Chat & Discovery (1-2 weeks):** We'll have a couple of calls to really dig into your business, your data, and what problems you're trying to solve. I'll ask a lot of questions about your current processes, what data you have, and what success would look like. This helps me figure out if I can genuinely help. I'll then put together a preliminary proposal outlining a potential project scope and expected outcomes. 2. **Pilot Project & Data Prep (3-6 weeks):** If it looks like a good fit, we'll start with a small, defined pilot project. This is where I get my hands dirty with your data, cleaning it up, exploring it, and building a basic proof-of-concept model. This phase is crucial for validating the approach and making sure we're on the right track before committing to anything bigger. I’ll be in regular contact, sharing progress and any findings. 3. **Model Development & Refinement (4-8 weeks):** Once the pilot shows promise, I'll dive into building out the full solution. This involves more advanced model development, rigorous testing, and fine-tuning. We'll work closely to ensure the model's outputs are understandable and actionable for your team. This phase often includes setting up the infrastructure needed to run the model, even if it's just a simple script on your end. 4. **Deployment & Handoff (2-3 weeks):** The final stage is getting the solution working within your existing systems and making sure your team understands how to use it. I'll provide documentation and, if needed, some basic training. My goal is to leave you with a functional tool and the knowledge to get value from it, not a dependency on me forever. We'll ensure everything is running smoothly before I wrap things up.
## What it costs, roughly
Okay, so this is always the tricky part without knowing your specific situation. I don't work on retainer unless it's for very specific, ongoing support. Most projects are quoted as a fixed-fee engagement based on the scope we define. For a typical pilot project, you're usually looking at a range in the low five figures. Full-scale solutions, depending on complexity and duration, can range from mid-five figures upwards. I try to be very transparent about costs upfront, and I'm always looking for ways to deliver the most bang for your buck.
## 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 project with a team of twenty consultants. I also don't specialize in general IT infrastructure setup or purely software development of complex applications. If you're just looking for 'AI' because it's a buzzword and don't have a clear business problem in mind, or if your data is completely non-existent or inaccessible, it's probably not a good fit either. My sweet spot is working with businesses that have a specific problem, some existing data, and a willingness to try a focused, practical approach.
## Getting in touch
If any of this resonates and you're an Atlanta-based business genuinely curious about how machine learning or data science could help you, I’d love to hear from you. No pressure, just a candid conversation to see if there's a potential fit. You can reach out directly via my website or, even better, just book a 20-min call. I'm based here in Atlanta, Georgia, and I'm always happy to connect.
FAQs — Atlanta
How do I know if Machine Learning or Data Science is worth it for my Atlanta business?
The best way to figure it out is if you have a specific, repetitive business problem where decisions are currently made manually or based on guesswork, and you have some data related to that process. If you're spending a lot of time analyzing spreadsheets or making educated guesses, there's a good chance it could help.
Do you only work with companies physically located in Atlanta?
While I enjoy working with local Atlanta businesses and can meet in person, my services are available to companies across Georgia and even beyond. The core work is often done remotely, so physical location isn't a strict limitation.
What does the first 2 weeks of an engagement usually look like?
The first couple of weeks are all about discovery. We'll have detailed conversations about your business goals, what data you have available, and what success looks like. I'll also start reviewing any provided data to get a preliminary sense of its quality and potential.
What if my data isn't perfectly clean or organized?
That's a very common situation! Most data isn't perfect. Part of my job is to help clean, organize, and prepare your data for analysis. We'll assess the condition of your data early on to understand what effort will be needed.
Can you integrate the machine learning solution into my existing systems?
Yes, where feasible, I aim to provide solutions that can be integrated into your current workflows and systems. The level of integration depends on your existing technology stack and can range from simple data feeds to API connections or custom scripts.