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
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.
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
This project focuses on Quarterly Revenue Forecasting across three media platforms.
An end-to-end startup business analytics platform for revenue, profit, product, marketing, customer, refund, expense analysis, and revenue forecasting.
Revenue intelligence and pricing optimization analytics system for forecasting, pricing strategy, elasticity analysis, and business decision support.
Regression-based revenue forecasting dashboard built in Power BI, replacing a static Excel report with forward-looking, interactive projections by product line.
🎬 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
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.
Enterprise revenue engine — end-to-end BI + AI system for revenue forecasting and attribution.
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.
Marketing budget allocation simulator for channel mix planning, CAC, ROI, payback, revenue forecasting, contribution analysis, and growth trade-off recommendations.
A scenario-based revenue forecasting application that combines time-series forecasting with interactive business simulation.
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.
Time-series forecasting project using ARIMA to analyze and predict telecommunications revenue trends.
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