统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实现

Professional financial modeling toolkit for Claude Code with auto-invoked Skills. Build DCF models, LBO analysis, variance reports, and pivot tables using natural language.

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

A Python package for variance ratio testing, weak-form efficiency diagnostics, rolling-window analysis, and simulation-based research on financial time series.

Job-ready FP&A & Financial Analytics portfolio—forecasting, variance analysis, KPI dashboards, and executive reporting (Python/SQL).

Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data

GAUSS implementation of ICSS from Sansó et al. "Testing for Changes in the Unconditional Variance of Financial Time Series"

In this note, we will give the recursive formulas for sample mean and sample variance, and their generalized forms for batch updates.

This is the repo for the project in Combinatorial Decision Making and Optimization at @unibo: optimizing a stock portofolio by using linear and quadratic optimization functions.

Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.

📈 revenue-forecasting-variance

Excel FP&A and business control model for a synthetic renewable energy portfolio using Power Query, variance analysis, scenario modeling, and dashboard reporting.

Automated FP&A forecasting and scenario modeling engine with driver-based revenue modeling, P&L projections, confidence intervals, and variance backtesting. Exports executive-ready Excel reports.

Finance Analyst project — Monthly P&L tracker, KPI dashboard, variance analysis and 3-month forecast model for Monee banking segment (Sea Limited)

Power BI FP&A Dashboard featuring revenue vs budget analysis, variance waterfall, cash flow monitoring, and rolling 3-month forecasting.

A -2.76% Variance in Income Actuals ($6.91M). A 7.67% Savings in Expense Actuals through efficient budget management. Visual Risk Assessment for five unique project IDs using conditional formatting.

FP&A Analysis Toolkit

AI agent skill to turn forecast models into driver-level monitoring systems with sensitivity-derived alerts, semantic layer mapping, and variance analysis.

In this note, we will analyze the variance of stepwise sample means (SSM).

The Chinook Data Analysis Project leverages PostgreSQL, Python, and Google Spreadsheets to explore and analyze the Chinook music store database. Insights will be presented through Tableau Dashboards and Stories. Stay tuned for updates as the project evolves.