Okay so, you're on this page, which probably means you're doing your due diligence, checking out consultants. And honestly, I appreciate that. There are a lot of flashy agencies out there. I'm not them. I'm just a solo operator, trying to do good work for good people. I specialize in making complex stuff like machine learning actually useful for businesses without all the jargon and overhead.
I know it can be kinda daunting to even think about where to start with data science or machine learning. Maybe you've got a pile of data and no idea what to do with it, or you've heard AI can solve all your problems and you're wondering if that's true. My approach is to cut through the noise, figure out what's actually possible, and then build something that works for your specific situation here in El Monte.
## What I actually do for El Monte clients
Mostly, I help businesses in El Monte take their existing data and turn it into something actionable. This could be anything from building a simple predictive model to forecast sales more accurately, to setting up an automation that sifts through customer feedback and flags important trends. My goal is always to deliver a tangible outcome that either saves you money, makes you money, or makes your operations run smoother. No fancy presentations of theoretical ideas, just practical results.
For example, I've helped clients build models to identify which customers are most likely to churn, or to optimize pricing strategies based on market data. I've also worked on projects where I've helped automate repetitive data entry tasks, freeing up valuable employee time. It's about finding those specific pain points where machine learning or data science can actually make a difference, even for a small or medium-sized business right here in El Monte.
## How a El Monte engagement usually goes
1. **Week 1-2: Discovery & Scoping.** This is where we figure out what problem you're trying to solve and what data you actually have. I'll ask a lot of questions, we'll look at your existing systems, and I'll give you an honest assessment of whether machine learning is even the right tool for the job. By the end of this, we'll have a clear, focused project plan. 2. **Week 3-6: Data Prep & Model Building.** Once we know what we're doing, I'll dive into your data. This often involves a fair bit of cleaning and organizing, which is less glamorous but super important. Then I'll start building and testing machine learning models. I'll keep you updated regularly on progress and any roadblocks. 3. **Week 7-9: Testing & Refinement.** We'll test the model or data solution with real-world scenarios, making sure it performs as expected. This usually involves a few rounds of tweaks and adjustments based on your feedback and further data analysis. My aim is to make sure it's reliable and accurate. 4. **Week 10-12+: Deployment & Handoff.** Finally, we'll get the solution integrated into your operations. This might mean setting up an automated report, deploying a predictive tool, or integrating a new data pipeline. I'll make sure you understand how it works and can use it effectively moving forward. If you need ongoing support, we can talk about that too.
## What it costs, roughly
Okay, so this is always the tricky bit, right? I don't do hourly billing much anymore. Most of my projects are fixed-fee, based on the scope we define in those first couple of weeks. For a typical pilot project, something that gets you a working model or a significant automation, you're usually looking at a range somewhere in the low to mid five-figures. Bigger, more complex projects will naturally be more. I'm upfront about costs after our initial discovery phase, no surprises. My goal is always to provide value that far outweighs the fee, so it's an investment that pays for itself.
## Who I'm usually NOT a fit for
I'm not gonna lie, I'm not for everyone. If you're a massive corporation with a huge in-house data science team, you probably don't need me. If you're looking for someone to just "do AI" without a clear problem to solve, or without any data to work with, that's not really my thing either. I also can't work magic; if your data is a complete mess and you're not willing to invest in cleaning it up, then any machine learning effort will kinda be a waste of time and money. I'm best for small to medium-sized businesses in El Monte and beyond who have a real business problem and are ready to tackle it with a practical, data-driven approach.
## Getting in touch
If any of this sounds like what you're looking for, or if you're just curious about what's possible, I'd love to chat. The first step is always just a conversation to see if there's a good fit. No pressure, no hard sell. Just an honest talk about your business and your data. Go ahead and book a 20-min call.
FAQs — El Monte
How do I know if AI is worth it for my El Monte business?
The best way to figure that out is to start with a specific problem you're trying to solve. If you have data related to that problem, and you're currently making decisions based on guesswork or manual processes, then AI or data science might be able to help. Let's chat about your specific situation.
Do you work with companies outside El Monte?
Yes, absolutely! While I'm highlighting El Monte here, I work with businesses all over the United States. Location isn't a barrier thanks to remote work, so feel free to reach out no matter where you're located.
What does the first 2 weeks look like?
The first two weeks are all about understanding your business, your goals, and your existing data. We'll have several conversations, review any data you can provide, and collaboratively define a clear project scope and expected outcomes. It's a discovery phase to ensure we're on the right track.
I don't have a lot of data. Can you still help?
It depends on what you mean by 'not a lot.' Some problems can be addressed with smaller datasets, especially if the data is high quality. However, machine learning models generally perform better with more data. We can discuss your specific situation and see what's feasible.
Do I need to hire a data scientist after you're done?
Not necessarily. My goal is to build solutions that you or your existing team can use and maintain. For ongoing support or more complex needs, we can discuss longer-term arrangements, but typically, I aim for self-sufficiency after deployment.