Hire the Best Data Scientists
in Argentina

Industrial Engineer and Data Scientist with 20+ years of experience across Coca-Cola, Volkswagen, CONAE, and Velotech.ai (Netherlands). I specialize in AI automation, workflow systems, and data dashboards — with 120+ projects delivered on Upwork and a 5.0★ rating. I've reduced manual work by 80%+ and cut project delays by 40% across manufacturing, real estate, infrastructure, and computer vision projects. I ship production-ready systems, not prototypes. Clear communication, full ownership, documented deliverables. AI & Workflow Automation — Python, n8n, Apps Script, REST APIs. CRMs, spreadsheets, bots, email platforms. Dashboards & KPI Reporting — Google Sheets, Excel, Looker Studio. Built for non-technical teams, no maintenance needed. Computer Vision — YOLOv8, Roboflow, OpenCV. Project Management — Agile/Kanban, full lifecycle. Scoping, coordination, delivery, reporting.

I’m a Python & AI Automation Engineer with hands-on experience building data pipelines, automating workflows, and creating dashboards that turn raw data into actionable insights. I help businesses structure their data, automate recurring processes, and build reliable analytics systems that support real decision-making. My approach is practical and business-oriented: I prioritize clarity, efficiency, and solutions that are easy to maintain. Typical work I deliver: • Data cleaning, validation, and gap analysis • Python-based automation and ETL/data pipelines • SQL analytics and data quality checks on large datasets • Dashboards and reporting systems for business teams • Support for applied machine learning and predictive analytics I have a background in Agronomic Engineering, which strengthened my analytical thinking and my ability to work with complex, real-world systems and datasets. I adapt quickly across industries such as sales, logistics, agriculture, healthcare, and education. Clients value my clear communication, structured delivery, and reliability. I focus on understanding the problem first and delivering solutions that actually get used in production. If you need help automating workflows, building data pipelines, or creating analytics dashboards, feel free to message me to discuss your project.

I am a Data Scientist and Economist specialized in building practical data systems for business decision-making. My work combines data analysis, predictive modeling, automation, dashboards, and data product development. I help companies clean, structure, analyze, and visualize their data so they can understand performance, forecast trends, automate workflows, and make better decisions. I work with SQL, Python, pandas, statistical models, predictive models, Power BI, Airtable, Softr, APIs, web scraping, and workflow automation tools. I have experience building end-to-end data pipelines, business dashboards, market intelligence tools, financial and economic models, and internal apps for small and mid-sized businesses. Some of my recent work includes: Data pipelines and scraping systems for market intelligence and vehicle finance data. Predictive models for credit demand, sales performance, campaign selection, and business forecasting. SQL-based data analysis, data cleaning, database structuring, and reporting automation. Power BI dashboards connected to SharePoint, cloud data sources, and optimized datasets. Airtable and Softr apps for ERPs, client portals, task management systems, user roles, permissions, and multi-tenant workflows. Network and node analysis for influencer mapping, campaign strategy, audience segmentation, and community detection. Python tools for index calculation, economic indicators, financial analysis, and automated reporting. I have worked as a consultant for institutions such as the Inter-American Development Bank and the Government of Mendoza, where I helped redesign and automate parts of the Consumer Price Index calculation process using Python. I also have experience in data products, analytics, machine learning, statistical modeling, WordPress dashboards, and data-driven content systems. My background in economics allows me to understand the business logic behind the data, not just the technical implementation. I can work from raw data to final deliverable: defining the problem, structuring the database, writing the code, building the model, designing the dashboard, and explaining the results clearly. I can help you with: SQL queries, database cleanup, and data modeling. Python scripts, automation, APIs, and scraping pipelines. Predictive models, forecasting, regressions, and statistical analysis. Power BI dashboards and reporting systems. Airtable and Softr apps, portals, workflows, and permissions. Business intelligence, market research, and financial/economic analysis. Data product development from idea to working MVP. I am fluent in English and Spanish, and I work well with both technical and non-technical teams. My focus is always on delivering useful, reliable, and well-documented solutions that save time, improve visibility, and support better decisions.

Hello! I'm an AI Engineer specializing in Machine Learning, Generative AI, and intelligent workflow automation. I currently work as an AI Engineer at a software company, where I design and deploy AI solutions that move from prototype to production. I have over four years of experience in Artificial Intelligence, beginning my career contributing to the training and evaluation of large language models for companies such as Scale AI and TELUS Digital AI. Today, my focus is on building practical AI systems that create measurable value for businesses. I'm also the founder of MENTAT, an initiative driven by the belief that state-of-the-art AI should be accessible to organizations of every size. Through MENTAT, I design AI-powered solutions that automate processes, improve decision-making, and integrate seamlessly into existing business workflows. My technical expertise includes: • Machine Learning with Python (NumPy, Pandas, XGBoost, Matplotlib) • Generative AI applications and LLM integration • AI Agents and multi-agent systems • Retrieval-Augmented Generation (RAG) • Workflow automation with n8n • AWS, Docker, Render, and cloud deployment • Supabase, PostgreSQL, and vector databases • REST APIs and end-to-end AI system integration • Specification-driven software development I can help you with: * AI agents and intelligent assistants * Business process automation * Machine Learning models and predictive analytics * RAG systems and knowledge bases * Custom AI applications * End-to-end deployment and production-ready AI solutions Additional skills: * Fluent in English and Spanish * Full project management from concept to deployment * Linux, LaTeX, Photoshop * Python, C++, and Fortran * Clear, proactive, and consistent communication throughout every project If you're looking for an engineer who can transform AI ideas into reliable production systems, I'd be happy to discuss your project.

I am a Data Science student at the University of Buenos Aires (UBA) with a focus on building robust software architectures and data-driven solutions. I specialize in Python, SQL, and Java, with a strong background in algorithm optimization and automated unit testing (97% code coverage achieved in logic engine projects). What I do best: Software Quality Assurance (QA): Functional, Black-box, and White-box testing with a focus on edge cases. Data Engineering: Professional web scraping (BeautifulSoup/Selenium), data cleaning, and SQL optimization using CTEs. Complex Logic Engines: Implementation of advanced data structures like Graphs and Max-Heaps for systemic simulations. I combine technical rigor with an analytical mindset to deliver clean, efficient, and well-documented code. Whether you need a data pipeline, a logic engine, or a thorough QA assessment, I ensure high performance and reliability.

I am a Systems Engineer specializing in scalable architecture and data engineering, with a foundation in full-stack development using Java and React. My expertise extends into data science and AI model implementation, allowing me to tackle complex technical challenges. With experience as a Data Analyst and Engineer, I have successfully led technical projects and collaborate effectively within team environments. My academic background in engineering equips me with the analytical skills necessary to derive insights from data and contribute to innovative solutions. If you're seeking a versatile professional who can bridge the gap between data, technology, and business needs, let's connect to discuss how I can add value to your project.