I'm an economist and data scientist with a strong focus on time series forecasting, advanced analytics, and data-driven decision-making.

My work sits at the intersection of analytics, business transformation, and practical implementation: turning complex data and business questions into scalable solutions, clear insights, and better decisions. I have worked across consulting, pharma, chemicals, and technology-driven environments, with a particular interest in forecasting systems, planning processes, and analytical products.

• 📈 Time Series Forecasting
  Forecasting methods, benchmarking, cross-validation, and scalable forecasting workflows

• 📊 Advanced Analytics & Machine Learning
  Applied statistics, econometrics, predictive analytics, data visualization, and practical ML use cases

• 🧠 Echo State Networks & Reservoir Computing
  Researching and applying ESNs for time series modeling and forecasting

• 📦 R, Python & Open Source
  Developing analytical workflows and open source software for forecasting and data science

• 🎓 Analytics Education
  Teaching and mentoring in statistics, econometrics, forecasting, and programming

I maintain R packages related to time series modeling and forecasting:

	echos Echo State Networks for time series modeling and forecasting CRAN | GitHub | Website
	tscv Utilities for tidy time series forecasting and time series cross-validation CRAN | GitHub | Website