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.

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.

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

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

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

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

🎬 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

Claude Code skill - Convert messy business spreadsheets into clean databases, dashboards, and automations. Built for freelancers and consultants working with non-tech clients.

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.

Marketing budget allocation simulator for channel mix planning, CAC, ROI, payback, revenue forecasting, contribution analysis, and growth trade-off recommendations.

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

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

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.

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

Free educational tool for small businesses to plan revenue, costs, and cash flow through scenarios and forecasting

🚀 Enterprise AI-powered Go-To-Market (GTM) strategy, scenario planning & feasibility platform for B2B SaaS. Evaluates 1,000 GTM scenarios across CAC, conversion, revenue forecasting, risk & product readiness with an interactive executive BI dashboard & 14 C-suite reports.

Python CLI to fetch all Chargebee account data and run rule-based subscription analytics: churn prediction, revenue forecasting, CLV, customer segmentation, payment failure detection, anomaly detection, and more.

Time-series forecasting project using ARIMA to analyze and predict telecommunications revenue trends.

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

A practical XGBoost pipeline for 30-day revenue forecasting and scenario-based deal scheduling optimization.