Rudolf Cesaretti

Background

About Rudolf Cesaretti

I am a PhD Candidate at Arizona State University (ASU) specializing in applying advanced data science solutions to solve complex problems with unstructured and messy data. With over 10 years of experience at institutions like ASU, the Santa Fe Institute, and Oxford University, I have honed expertise in a wide variety of methods using R, Python and SQL, including- Statistical analysis using multivariate, non-linear, Bayesian and multi-level models (glmm, mgcv, brms, scipy)- Machine learning and data mining (mlr3, caret, scikit-learn, MLflow)- Geospatial analysis and prediction (sf, stars, terra, GDAL, GeoPandas)- Time-series analysis and forecasting (forecast, tsibble, timetk, prophet, statsmodels, sktime)- Network analysis and graph theory (tidygraph, sna, igraph, NetworkX)- Probability theory, Bayesian inference, hypothesis and A/B testing (MASS, extraDistr, fitdistrplus, BayesFactor, stats, abtest)- Data visualization and interactive dashboards (ggplot2, shiny, matplotlib, plotly, plotnine, easystats)- Feature engineering/extraction and dimension reduction (PCA, ICA, LDA)- ETL pipelines, data wrangling and databases (tidyverse, pandas, numpy, scipy, data.table, arrow, fastverse, PostgreSQL) As the lead data scientist for several interdisciplinary research projects spanning the social, biological, and geosciences, I developed scalable workflows and novel approaches for tackling challenges where off-the-shelf solutions didn’t exist. My work has directly informed decisions in grant-funded resource allocation, generated actionable insights that shifted the analytical focus of collaborative projects, and resulted in co-authorship of 6+ publications in leading scientific journals. I’m eager to apply these skills to industry challenges, collaborating with innovative teams to solve real-world problems and create meaningful impact. My focus is on bridging technical expertise with cross-disciplinary insight to drive customized data-driven solutions. Let’s connect if you’re seeking a data scientist who blends analytical rigor with creativity and a passion for continuous learning. I’m actively exploring opportunities in data science roles where I can contribute and grow.