revenue-forecasting

EDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting capabilities.

Bottom-up driver-based revenue forecasting: base × penetration × share × price, with structural residual alignment, A/B/C data grading, Monte Carlo + tornado sensitivity, and annual-report segment extraction. Pure Python stdlib.

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

Predictive Customer Lifetime Value & Revenue Forecasting with LightGBM, SHAP, temporal validation, and purchase propensity modeling.

End-to-end sales revenue forecasting with business decision insights using Python, SQLite, and Streamlit

AI powered Business Intelligence Copilot for SQL analytics, interactive dashboards, revenue forecasting, and natural-language business insights.

🎬 An interactive OTT Subscriber Churn Predictor built with Streamlit and Scikit-Learn. Translates underlying machine learning metrics into plain business language, featuring automatic red/green behavioral risk tracking, annual revenue loss forecasting (INR), dynamic layout resetting, and one-click printable executive report exporting

Probabilistic Revenue Forecasting & Budget Optimization for Paid Media — FastAPI + Next.js 14 | Live: https://revcast-frontend.onrender.com

B2B sales pipeline analytics with lead scoring, revenue forecasting, calibrated ML, sales capacity optimization, and next-best-action intelligence.

Скрипт анализирует планы лечения и запланированные операции, рассчитывает минимальную и максимальную ожидаемую выручку по каждому пациенту и формирует Excel-отчёт. Используется для прогнозирования будущих продаж и финансового планирования.

This project focuses on Quarterly Revenue Forecasting across three media platforms.

Interactive Financial KPI Dashboard | Revenue vs Budget vs Forecast | Gross Margin, EBITDA & Variance Analysis | Illustrative sample data

Regression-based revenue forecasting dashboard built in Power BI, replacing a static Excel report with forward-looking, interactive projections by product line.

Revenue intelligence and pricing optimization analytics system for forecasting, pricing strategy, elasticity analysis, and business decision support.

Engineered a BI framework to drive growth and operational efficiency. Segmented 90+ customers for churn mitigation, audited logistical ROI to optimize shipping costs, and automated margin protection for discontinued inventory. Delivered actionable KPIs for sales attribution and revenue forecasting using 830+ order records.

Objective: Forecast monthly merchant revenue across 50 merchants (5 years of data) and compare multiple forecasting methods.

Data-driven SaaS pricing optimization using ML to maximize LTV/CAC ratios. Employs Random Forest, clustering, and elasticity analysis on 4,222 customers to recommend tiered pricing strategies that balance revenue growth with sustainable churn rates.

Enterprise revenue engine — end-to-end BI + AI system for revenue forecasting and attribution.

An end-to-end startup business analytics platform for revenue, profit, product, marketing, customer, refund, expense analysis, and revenue forecasting.

SubSync — Intelligent Subscription & Recurring Revenue Management Platform with Idempotent Billing Engine, GST Compliance, and Predictive Cash Forecasting