OM Core - open-source multidimensional modeling engine.
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Updated
Sep 22, 2026 - Python
OM Core - open-source multidimensional modeling engine.
Financial Analyst & FP&A portfolio | Excel financial modeling, budgeting, forecasting, variance & profitability analysis, Power BI, SQL, Python & executive reporting.
Read-only MCP server for FP&A & management reporting — governed metrics, financial statements and drill-down over a SQL semantic layer. Your own financials on your own warehouse, not market data. Open core of Précis. (metric engine · ClickHouse · OIDC · Docker)
经营管理导向财务分析看板:用 Python 将财务报表与业务明细转化为可离线运行的 FP&A 管理驾驶舱,含风险检测、杜邦分析、营运资本、利润中心与投资敏感性分析。
Excel dashboard to identify overspending across departments and highlight areas requiring immediate cost control
A practical, non-coding Excel / Power BI-ready FP&A project for a B2B SaaS company. The model forecasts monthly cash inflows, outflows and balances; compares Budget vs Actual; analyzes AR, AP and working capital; tests Best/Base/Worst scenarios; predicts cash shortages; calculates runway; and presents management recommendations through an executive
End-to-end financial analytics architecture integrating IFRS financial modeling, a PostgreSQL-based financial data warehouse, Python forecasting models, and Power BI executive dashboards.
Free Claude Code skill + the certified-BI doctrine from kymira.ai: business intelligence where every number reconciles to the file's own totals.
Decision-focused FP&A, finance BI, Power BI, and valuation case studies with downloadable models and audit controls.
Four-page Power BI financial performance dashboard built from the SQL case-study dataset with 21 DAX measures, executive KPIs, and budget tracking.
AI skills for CFO & Finance teams — connects GitHub Copilot and M365 Copilot to Dynamics 365 Business Performance Analytics via live DAX queries.
FP&A Analysis Toolkit
Agentic FP&A & ERP Analytics Copilot using Python, SQL, ML, forecasting and data visualization.
Monte Carlo simulation applied to banking risk: VaR/CVaR, credit default modeling, liquidity stress testing, option pricing, CVA, and Basel capital estimation. Ten projects building toward an integrated enterprise risk dashboard. Built in Python with NumPy, Pandas, and SciPy.
Plataforma de inteligência econômica que transforma indicadores oficiais em recomendações para revisão das premissas do Forecast.
Single-file interview tool for the AI-capability module of an FP&A hiring loop
Finance automation portfolio for month-end close, reconciliations, ERP data quality, VAT/EFD controls, MCP servers, and audit-ready reporting.
Budget vs actuals → driver-attribution variance commentary, not just numbers. Agentic AI for FP&A.
End-to-end FP&A and BI case study: Financial Reporting, Budget vs Actual, Power BI, DAX, Power Query and CAPEX Analysis.
End-to-End Retail Analytics Project using Walmart sales data. Built a master dataset, performed monthly sales analysis, budget vs actual reporting, variance analysis, store and department performance evaluation, and sales forecasting using Holt-Winters Exponential Smoothing.
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