You will get a machine learning model and data pipeline in production

Itzel O.Status: Offline
Itzel O. Itzel O.
5.0
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Itzel, priced and ready to go.
Itzel O.Status: Offline
Itzel O. Itzel O.
5.0
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Itzel, priced and ready to go.

Project details

I build machine learning that runs in your business, not a notebook you can't use. From your data, I train a custom model (prediction, classification, or scoring), wrap it in a clean data pipeline, validate it honestly, and can deploy it as an API your systems call. I'm a full-stack developer (9 years, 4 in AI) working in Python with pandas, scikit-learn and PyTorch, so I own both the modeling and the engineering to ship it. I care about the parts that make ML trustworthy: proper train/test splits (no leakage), the metric that actually matters for your case, feature engineering, and a clear accuracy report — no cherry-picked numbers. What you get: a validated model on your data (Starter); a data pipeline, feature engineering and an accuracy report (Standard); and deployment as an API, monitoring and a retraining plan (Advanced). Message me before ordering so I can confirm the goal, your data, and the right tier.
Machine Learning Tools
Amazon SageMaker, NumPy, pandas, Python, PyTorch, scikit-learn
What's included
Service Tiers Starter
$350
Standard
$700
Advanced
$1,400
Delivery Time 7 days 12 days 20 days
Number of Revisions
123
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
Source Code
5.0
1 review
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OO

Oscar O.
5.00
Apr 23, 2026
Automation Specialist (N8N, Make, Zapier, Python) Itzel is the consummate professional. Detailed oriented, relentless, and communicates expectations clearly. From a developer standby, she's best in class. Having worked with over 50+ devs, she's in the 1% .
Itzel O.Status: Offline

About Itzel

Itzel O.Status: Offline
AI Automation Developer | n8n, WhatsApp Bots, LLM Pipelines, Python
100% Job Success
5.0  (1 review)
Barcelona, Spain - 7:51 pm local time
I build AI systems that real businesses run on every day: WhatsApp assistants that book appointments while the team sleeps, pipelines that turn a client brief into a finished package in minutes, and dashboards that replace days of manual Excel work.

I'm a full-stack developer with 8 years of experience, an AI developer for the last 5, focused on LLM systems for the past 3. With a degree in business and IT and a master's in AI, I move between the business side and the technical side without a translator: I can map your operation with you in plain language, then build and deploy the system end to end.

Recent systems, all in production and documented:

• A 24/7 AI teammate for a logistics company: answers operations questions, tracks containers with the carrier automatically, and delivers a daily 7 a.m. briefing (n8n, OpenAI, Supabase).

• A proposal engine for an events agency: reads each brief, finds and verifies suppliers, and contacts them automatically. A full brief takes 13-26 minutes instead of hours, with 0% classification errors.

• A marketing dashboard for a medical group: Meta and Google Ads synced daily, funnel per treatment line, investment vs. revenue. It also recovered ~107 ad conversions a tracking bug had been silently dropping.

I work in English and Spanish natively. My stack: Python, FastAPI, n8n, Make, OpenAI and Claude APIs, LangChain, WhatsApp Business API, Supabase, PostgreSQL, Docker. Self-hosted and production-grade, with documentation your team can actually use.

If you have a system in mind, tell me what's eating your team's time. I'll answer with a sketch of how I'd build it, and often with a small working prototype, because showing beats promising.

Steps for completing your project

After purchasing the project, send requirements so Itzel can start the project.

Delivery time starts when Itzel receives requirements from you.

Itzel works on your project following the steps below.

Revisions may occur after the delivery date.

Scope, data & baseline

Confirm the goal and metric, explore your data, clean it, and set an honest baseline.

Train & validate

Feature engineering, train and tune the model, and validate it with a clear accuracy report.

Review the work, release payment, and leave feedback to Itzel.