Hire the Best Data Scientists
in Argentina

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 mathematician and data scientist specializing in mathematical optimization and operations research. I excel in bridging theoretical models with practical computational solutions. My thesis project, which involved designing a Mixed-Integer Linear Programming model for drone routing, showcases my ability to turn complex algorithms into efficient applications. I am proficient in Python, C++, and R, utilizing tools like NumPy, Pandas, and Gurobi to solve optimization challenges. My strengths lie in combinatorial optimization, linear programming and graph algorithms, making me an ideal candidate for roles that involve rigorous mathematical modeling. If you need a skilled professional to enhance your project with data-driven insights and innovative solutions, let’s connect and discuss how I can contribute to your success.

I'm a computers fanatic, Data Scientist specialized in data extraction and web scraping with more than 5 years of experience. I work with Python as main tool, but I also have knowledge of: Scrapy framework, alone or with Splash for javascript rendering. Selenium-webdriver scraping libraries such as: BeautifulSoup, urllib, lxml. Etc. knowledge of Machine Learning, scikit.learn, Keras. Data Mining. Deep Learning. 2+ years of experience as a Developer with Python. Experience on doing ETL on Python, with Scrapy framework stack including Splash. Strong understanding of web scraping techniques, including the bypass of common server and client side anti-scrapping protections. Solid understanding of web technologies (HTML, JavaScript, CSS, XPath, JSON, etc).

🏥 If you're building AI for healthcare, you need someone who understands both sides — the technology and the medicine. That's exactly what I bring. Most data scientists working in healthcare lack clinical training. Most doctors lack technical depth. I have both: I'm a Medical Doctor with a PhD in Medical Imaging, an MSc in Epidemiology & Health Policy, and 7+ years of hands-on industry experience delivering real-world AI solutions for healthcare organizations and R&D teams. What I can help you with: 🔹 RAG pipelines & CDSS — I design and build multi-source and graph RAG architectures for healthcare, including clinical evidence databases and AI-powered clinical decision support systems 🔹 Healthcare Workflow Automation — AI-driven automations that reduce manual effort in clinical and administrative processes 🔹 AI Consulting — strategy, architecture, and implementation advisory for healthcare organizations integrating AI 🔹 Medical NLP — LLM fine-tuning, prompt engineering, medical text analysis, and clinical information extraction 🔹 Medical Imaging & Computer Vision — model development for classification, detection, and multimodal clinical data integration 💡 What makes me different: I don't just apply algorithms to medical data — I understand the clinical context behind it. That means fewer assumptions, better-designed solutions, and outputs that actually make sense in a real healthcare environment. My work spans both academia and industry. I've published research in JAMIA and npj Digital Health on LLM-based clinical trial matching, and created MultiCaRe — an open-source dataset of 100K+ clinical cases and 140K+ medical images used by researchers worldwide. ⭐ My track record on Upwork: I've completed 4,700+ hours on this platform with a 100% Job Success Score and consistent 5-star reviews. Clients describe me as collaborative, committed to quality, and reliable — I take full ownership of whatever I build. What I'm looking for: I work on both hourly and fixed-price contracts. I'm open to: 🔹 Short-term consulting engagements 🔹 Long-term project development 🔹 Research & development collaborations 🔹 Advisory roles on healthcare AI products Whether you're a startup building your first AI-powered healthcare product, a research team looking to extract more value from clinical data, or an enterprise ready to integrate AI into your workflows — I'd love to hear about your project. Let's talk. Send me a message or book a free 30-min intro call directly from my profile.

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.