modeling▌

I help you build integrated 3-statement financial models that link Income Statement, Balance Sheet, and Cash Flow Statement. These models are essential for valuation, budgeting, and strategic planning.

COBRApy is a Python library for constraint-based metabolic modeling, essential for systems biology research and metabolic engineering analysis.

Structured content modeling guidance for schema design, reusability, and multi-channel delivery. \n \n Covers core principles: treating content as data rather than pages, maintaining single sources of truth, designing for future channels, and optimizing for editor workflows \n Includes decision frameworks for references versus embedded objects, separation of concerns, and content reuse patterns \n Provides taxonomy and classification guidance for flat, hierarchical, and faceted approaches \n App

Semantic modeling assistant for building optimized Power BI data models with DAX, relationships, and best practices. \n \n Connects to active Power BI models (Desktop or Fabric) to analyze current structure before providing guidance on star schemas, relationships, measures, and naming conventions \n Covers core modeling tasks: creating DAX measures, configuring table relationships and cardinality, implementing row-level security (RLS), and optimizing performance \n Includes model quality assessm

Regression modeling predicts continuous target values based on input features, establishing quantitative relationships between variables for forecasting and analysis.

Comprehensive statistical modeling skill for fitting regression models, survival models, and mixed-effects models to biomedical data. Produces publication-quality statistical summaries with odds ratios, hazard ratios, confidence intervals, and p-values.

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.

Role: Senior 3D Artist / Technical Artist

Build 3-5 year financial models with revenue projections, cost structures, and scenario planning for startups. \n \n Cohort-based revenue modeling with customer acquisition, retention, and ARPU inputs; supports SaaS, marketplace, e-commerce, and services business models \n Comprehensive cost structure breakdown across COGS, S&M, R&D, and G&A with fixed vs. variable categorization and scaling assumptions \n Cash flow analysis including monthly burn rate, runway calculation, and fun

PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC).