Hire the Best Data Scientists
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Data scientist with remarkable experience in Python, statistics, machine learning, academic research and technical writing. I will happily discuss your project needs, so don't hesitate to invite me! Here are some of my professional accomplishments: • 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹: I have worked in various full-time roles and collaborated with numerous companies worldwide, thus acquiring significant experience and credibility. Feel free to check my previous work and project portfolio below. • 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿: I have participated in EU-funded research projects, with published papers in Nature and other prestigious scientific journals. • 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗔𝘂𝘁𝗵𝗼𝗿: Simplifying Machine Learning with PyCaret became a bestseller and got cited in academic research. I am now working on a second book about time series forecasting. • 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗪𝗿𝗶𝘁𝗲𝗿: I have published numerous articles on topics like outlier detection, hypothesis testing, time series forecasting, large language models, and many others.

Welcome to my profile! I am a Data Scientist and Machine Learning Developer with an MSc in Information Systems and a strong background in Agricultural & Environmental Sciences (AgTech). My goal is to help businesses and researchers transform complex, messy datasets into clean, actionable insights and predictive models. By combining my academic foundation in Data Mining and Database Design with intensive practical training, I deliver well-structured and documented solutions. Here is how I can support your project: - Machine Learning & Data Analysis: Building and optimizing predictive models (Scikit-Learn, XGBoost) and cleaning noisy field or sensor data. - Computer Vision: Developing image processing workflows using OpenCV (such as automated plant disease detection). - Database Solutions: Designing and managing robust MySQL databases with full-stack integration (PHP). Featured Projects & Proof of Work: - Developed a Computer Vision pipeline for Tomato Leaf Disease Detection, achieving 91.8% accuracy using OpenCV and XGBoost. - Ranked in the Global Top 10% (388/4,050) in the Kaggle House Prices competition, focusing on advanced Feature Engineering. - Designed a full-stack PHP/MySQL web application for public sector grant evaluation to automate eligibility scoring. I am always excited to collaborate on new challenges, whether you need a generic data analysis model or a specialized AgTech solution. Feel free to reach out so we can discuss your project requirements!

📊 I hold a PhD in Economics with expertise in empirical econometrics, complemented by five years of professional experience in economic analysis and data analytics. My background also includes extensive work in time series forecasting and machine learning applications. 📈 I have collaborated with professionals across the stock market and betting industries to deliver projects forecasting stock market indices and soccer outcomes. 🛠 Technical Skills & Expertise: ✅ Data Analysis: Proficient in data processing, cleaning, and exploratory data analysis using pandas and numpy to derive actionable insights. ✅ Data Visualization: Skilled in effectively communicating findings through tools such as matplotlib, seaborn, and interactive tools such as Streamlit. ✅ Machine Learning: Experienced in creating Machine Learning forecasts and reports using various packages, including scikit-Learn, keras, and statsmodels. ✅ Econometrics: Demonstrated academic success in empirical econometric projects, specializing in causal inference with panel data and employing models such as propensity score matching and difference-in-differences, as well as time series forecasting models (ARIMA/VAR). ✅ Research: Experienced in conducting rigorous empirical research in economics, applying statistical and econometric methods to analyze large datasets. Skilled in extracting meaningful insights and translating them into actionable economic conclusions. Published in peer-reviewed journals on firms' competitiveness. Also experienced in academic writing and research dissemination.

Senior Full-Stack Engineer specializing in React, Next.js, and TypeScript - with a track record of shipping production SaaS applications that are fast, maintainable, and built to scale. Over the last 5+ years I've led frontend architecture and full-stack delivery for SaaS startups across Europe, working closely with founders, product teams, and engineering leads to turn complex requirements into clean, performant products. 🎯 WHAT I'VE DELIVERED ✅ Led the full architectural rebuild of a credit management SaaS platform — reduced the codebase from 150,000 to 40,000 lines (73% reduction) while cutting initial load time from 4 seconds to 1 second. ✅ Built a dual-platform web + Electron application with 85% shared codebase, deployed to research centers including Tecnalia, with real-time WebSocket data flowing from hardware sensors to the UI. ✅ Drove a 20% increase in conversion on a career-tech SaaS that grew to 50,000+ users and helped close €1M in funding across two rounds. 🛠 WHAT I BRING TO YOUR PROJECT ✔ Deep expertise in React, Next.js, TypeScript, and Tailwind CSS for modern, performant frontends ✔ Full-stack capability with Node.js / Express and any TypeScript backend framework ✔ Production experience with AWS, Vercel, Docker, PostgreSQL/MySQL, and CI/CD pipelines ✔ Strong focus on performance optimization — code splitting, eliminating request waterfalls, bundle size, Core Web Vitals ✔ Experience leading small engineering teams and establishing frontend standards 👤 I'M A GOOD FIT IF YOU'RE ▸ A SaaS founder or CTO who needs a senior engineer to own frontend architecture ▸ A team with a slow, bloated, or hard-to-maintain frontend that needs rescuing ▸ Building a data-heavy dashboard, internal tool, or B2B product where UX and performance actually matter ▸ Looking for someone who can move between frontend and full-stack as the project demands I work best with teams that value clean code, clear communication, and shipping things that actually work in production. 📩 If that sounds like your project, send me a message - I'd love to hear what you're building.

Seasoned data scientist and quantitative developer, focused on building and evaluating complete trading infrastructures (from strategy/setup inception to thorough backtesting to live automated trading system) for funds, family offices and top-tier retail traders. Former founder and CTO of Quantflare, an alternative data provider startup with a focus on the algorithmic trading market subset. Few of the items I can assist you at : - Signal & Factor Analysis & Robustness Testing - Thorough Backtesting and Strategy Performance Reporting/Evaluation - Systematic Portfolio Optimization - Systematic Hedging - Automated Signal Research & Evaluation - Strategy Incubation & Live Deployment Constantly seeking for further alpha and/or business opportunities - happy to chat with experienced individuals in the industry.

I am a Senior Statistician with 9+ years of experience in data analysis. With a background in academic research at the University of Oxford and corporate expertise at the most prestigious pharmaceutical companies, I specialize in data analysis, predictive modeling, and business intelligence. I have a BSc in Statistics and an MSc in Biostatistics. Proficient in R, STATA, SPSS, SQL, Excel, and Tableau, I excel at data visualization, statistical modeling, and machine learning. Moreover, I have a proven track record of analyzing complex datasets, uncovering key trends, and translating findings into strategic business decisions. Whether you need help with data analysis, dashboard creation, or statistical consulting, I can help you unlock the full potential of your data. Let’s work together to solve your biggest challenges and turn insights into outcomes. Let’s do it!