You're probably looking for someone who understands your local challenges and can translate complex 'AI' ideas into something you can actually use. I get it. My approach is pretty straightforward: figure out your actual problem, see if data or Machine Learning can solve it, and then build something that works. No fluff, no endless meetings about 'strategy' if what you really need is a working model.
## What I actually do for Glendale clients
Okay so, what does 'Machine Learning and Data Science' actually mean for a business owner in Glendale? It usually boils down to making better predictions or automating some kind of decision. Think about a local Glendale shop that needs to predict inventory levels more accurately to avoid waste, or a service business that wants to optimize scheduling based on historical demand.
I typically help with things like building predictive models – maybe to forecast sales, identify which customers are likely to churn, or recommend products. Or, I might set up data pipelines to clean and organize your existing data, making it useful for analysis. It's about taking your raw information and turning it into something actionable, whether that's a simple dashboard or a more complex automated system.
## How a Glendale engagement usually goes
1. **Week 1: Discovery & Scoping.** We'll have a couple of calls. I'll ask a lot of questions about your business, your data (what you have, what you wish you had), and what specific problem you're trying to solve. I'll dig into your operations and we'll jointly define a very specific, measurable goal. By the end of this week, we'll agree on a mini-project or pilot that's achievable in a short timeframe. 2. **Weeks 2-4: Data & Prototype.** This is where I start getting my hands dirty. I'll work with your team (or directly with your data if you grant access) to gather and clean the necessary information. I'll then build a small, working prototype or a proof-of-concept for the agreed-upon solution. You'll get regular updates, and we'll check in to make sure it's heading in the right direction. 3. **Weeks 5-8: Refinement & Delivery.** Once the prototype is validated, I'll refine the solution, making it more robust and accurate. This might involve more complex model training or further data integration. The goal here is to get a deployable version of the solution. I'll package it up, usually with clear instructions or a simple interface, so you can start using it. 4. **Post-Delivery: Support & Next Steps.** After the initial delivery, I provide a short period of support to ensure everything is running smoothly and answer any questions. We can then discuss potential next phases, if you're interested in expanding the solution or tackling other problems. No pressure, just options.
## What it costs, roughly
Look, I'm not gonna pretend this is always cheap. Real, effective Machine Learning takes time and expertise. Most of my projects start in the low five figures for a focused, several-week engagement. For something more extensive, it can certainly go higher. I prefer fixed-fee projects whenever possible so there are no surprises for you, and we both know exactly what's expected. We'll agree on the scope and the price upfront, no hourly meters ticking away indefinitely. It just feels more fair that way.
## Who I'm usually NOT a fit for
I'm not gonna be the right fit for everyone, and that's okay. If you're a giant corporation looking for a team of 50 consultants, I'm probably not your guy. I also don't do basic website design or general IT support. If you don't have *any* data to work with, or if your business problem isn't something that can realistically be improved with predictions or automation, I'll tell you upfront. My goal isn't to sell you something you don't need, even if you are in Glendale.
## Getting in touch
So, if you're a Glendale business owner with a specific problem you think data or Machine Learning might help with, or if you're just curious and want to explore possibilities, let's chat. I'm not gonna give you a sales pitch. I just want to hear about what you're trying to do. You can easily book a 20-min call right from my website, let's see if there's a good fit. I look forward to hearing from you.
FAQs — Glendale
How do I know if Machine Learning is worth it for my Glendale business?
The best way to figure this out is to identify a specific, recurring problem where better predictions or automation could save you money, time, or improve customer satisfaction. If you have data related to that problem, it's a good candidate for Machine Learning.
Do you work with companies outside Glendale, Arizona?
Yes, absolutely. While I'm focused on serving local businesses in places like Glendale, my operations are fully remote, meaning I can effectively assist clients anywhere in the U.S.
What does the first 2 weeks of an engagement usually look like?
The first two weeks are all about understanding your business, your data, and defining a clear, achievable scope for a pilot project. We'll have several conversations, and I'll start looking at any data you can provide to see what's possible.
Do I need to have a data scientist on my team already?
Not at all. I work with businesses that have no in-house data science expertise. Part of what I do is to bridge that gap and deliver a usable solution without you needing to hire someone full-time.
What kind of data do you need to get started?
It really depends on the problem, but generally, any historical data related to the process you want to improve is helpful. This could be sales records, customer interaction logs, inventory figures, or operational metrics. Even spreadsheets can be a starting point.