Sector-level performance and transit alignment: using Pandas to find which industries historically outperform under which celestial regimes.
Formalizing optimal timing of M&A, capital raises, and product launches using SciPy optimizers and celestial time windows.
Using SciPy Optimization To Architect Business Decisions Based On Celestial Time Mapping Read Post »
Transforming historical sales data into actionable growth forecasts using simple yet powerful linear regression models in Python.
Synthesizing business performance data with personal bio-rhythms and growth cycles to architect more accurate revenue forecasts.