Hire the Best Scikit-Learn Specialists
in Peru

AI systems that break in production cost more than they save. I build the ones that don't — 91.9% uptime, 2s latency, deployed on AWS and battle-tested across banking, healthcare, e-commerce, and government. 5+ years. 34+ projects on Upwork.91% Job Success Score. ━━━━━━━━━━━━━━━━━━━━━━ 📊 Real results from production systems: - 40-90% reduction in manual operations through AI automation - 55% conversion rate increase via ML-driven segmentation (Banco Pichincha) - 99.9% uptime across 3 enterprise applications processing 4,000+ records - 60% cut in manual task time with AI orchestration agents (Jira/Confluence) - 70-90% reduction in manual work in regulated document processing ━━━━━━━━━━━━━━━━━━━━━━ 🔧 What I build: - AI agents & RAG systems — GPT-4, Claude, Gemini (production-grade) - Automation pipelines — n8n, LangChain, LangGraph, custom Python - Backend APIs — FastAPI, Django, Flask, clean and scalable - ML models — TensorFlow, PyTorch, Scikit-Learn (classification, segmentation, forecasting) - Full stack apps — React/Next.js + AWS infrastructure - Data pipelines — PySpark, Airflow, ETL, BigQuery ━━━━━━━━━━━━━━━━━━━━━━ 🏢 Enterprise clients include: Goodwill · Homeboy Industries · Banco Pichincha · Dominican Republic Banking Regulatory Authority ━━━━━━━━━━━━━━━━━━━━━━ ⚡ How I develop: I use AI-assisted tools daily — GitHub Copilot, Claude Code, and OpenHands — not as a crutch, but as a force multiplier. I know exactly what the code does, why it works, and how to fix it when it breaks. The result for you: faster delivery, cleaner architecture, fewer revision cycles. ━━━━━━━━━━━━━━━━━━━━━━ 🚀 Past projects include: - eBay AI listing automation for large-scale thrift e-commerce - RAG platform analyzing 4,000+ government contracts - Real-time transcription service on AWS with GPT-4 integration - AI agents for Jira/Confluence auto-documentation from GitHub - WhatsApp chatbots + n8n automation workflows - KYC document verification pipelines with ML filters - Financial regulatory reporting systems (1M+ records) - Virtual try-on platform for textile vendors (Lima) ━━━━━━━━━━━━━━━━━━━━━━ 🤝 How I work: I stay close to the business goal, communicate clearly, and deliver systems your team can maintain after I'm done. No over-engineering, no disappearing after milestone 1. If you need someone who ships to production — not just prototypes — send me a message with your project details.

I'm a product-minded data scientist who works across product, data, and design. I don't just analyze data, I use it to make products better, from content strategy to UI to AI-powered workflows. My background is in data science and machine learning (Kaggle Notebook Legacy Grandmaster, former #29 worldwide), but over the past few years, my work has expanded well beyond modeling. I now operate at the intersection of product, content, design, and AI — owning problems end-to-end rather than one narrow slice. What I actually do day to day: I build and improve digital products, designing interfaces, prototyping with AI tools, preparing and formatting content for CMS import at scale, creating AI-powered workflows, and using data to guide every decision. Most of my recent work has been in edtech, but the approach applies to any product team that needs someone who can think across layers and ship. Where I'm strongest: ✓ Taking a messy product problem and turning it into something structured: clear UI, clean content, working systems ✓ AI integration: building custom Claude/GPT skills, evaluating agent platforms, designing LLM-powered workflows that actually save time ✓ Data analysis & ML when the problem calls for it — predictive models, clustering, dashboards, ETL pipelines ✓ Content operations: designing learning content, building review systems, managing workflows at scale ✓ UI/UX: prototyping interfaces and interactive tools using AI, iterating on design systems Tech I work with: Python, SQL, Pandas, Scikit-learn, BigQuery, Plotly Dash, Zoho, Claude Code, Lovable, Claude/GPT APIs, prompt engineering, LLM fine-tuning Good fit if you need someone who: ✓ Can own a product area, not just a task ✓ Bridges the gap between data, design, content, and engineering ✓ Ships fast using AI tools without cutting corners on quality ✓ Has edtech experience and understands learning product design

Machine Learning Engineer (AWS) | Data Scientist | Python Expert | AI Engineer | I'm Jesús Soto Enriquez, a passionate Data Scientist with over 3 years of experience transforming data into actionable insights. I specialize in developing end-to-end machine learning models, AI solutions, and cloud-based systems to drive business outcomes. With deep expertise in Python programming and cloud platforms like Google Cloud (GCP) and AWS, I deliver scalable, cutting-edge projects. What I Offer: Python & Data Science: Proficient in Python, I develop robust machine learning and AI models, from data preprocessing to deployment. I excel in libraries like Pandas, Scikit-learn, TensorFlow, and PySpark. AI & Large Language Models (LLMs): Experienced in building and fine-tuning AI models, including Large Language Models (LLMs), for natural language processing, automated insights generation, and enhancing user experiences. Cloud Solutions (GCP & AWS): I design and deploy scalable machine learning and AI models on cloud platforms like GCP (Vertex AI, BigQuery) and AWS (Sagemaker, Athena, S3), ensuring efficiency and reliability. Business Analytics & Dashboards: I create interactive dashboards using Power BI and Tableau, turning complex data into business insights that inform strategy and decision-making. Model Validation & Risk Analytics: I have hands-on experience in risk modeling, including PD, stress testing, and regulatory compliance, ensuring accuracy through rigorous validation and back-testing. With my background in AI, machine learning, and cloud computing, I bring innovative, future-proof solutions to help businesses unlock the