LaTeX Drafting with Data Science Background -- 2

I have several data-science projects that need to be turned into clean, publication-ready LaTeX documents while also running the accompanying simulations and producing high-quality plots. The workflow is threefold: first, draft the sections in LaTeX, weaving in mathematical notation where needed; second, run and refine “other” data-science simulations (they are not simple statistical or off-the-shelf ML model runs but custom analyses written in Python); and third, generate figures directly from the code so they drop seamlessly into the manuscript. A strong background in statistics and machine learning is important because I will hand over notebooks that assume familiarity with concepts such as cross-validation, optimization routines, and probabilistic modelling. You will tidy up the code where necessary, execute the simulations, capture the outputs, and style the plots so they match the document’s formatting conventions. -AVOID Irrelevant Bids Deliverables: • A compiled PDF and corresponding .tex source for each section • Well-commented Python scripts/notebooks that reproduce the simulations • Vector graphics (PDF/PGF or EPS) of all plots, already referenced in the LaTeX I am looking for concise, reproducible work: when I run `make`, everything—from simulation through final PDF—should build without manual intervention.

Project ID: 39718698