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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.
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.
Regression-based revenue forecasting dashboard built in Power BI, replacing a static Excel report with forward-looking, interactive projections by product line.
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.
Flipkart Sales Analysis project using data warehouse and data mining techniques. Implements ETL pipeline, customer segmentation, revenue forecasting, and analytics dashboards with FastAPI backend and visualizations for actionable business insights.
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.
Claude Code skill - Convert messy business spreadsheets into clean databases, dashboards, and automations. Built for freelancers and consultants working with non-tech clients.
AI-powered sales forecasting and analysis system built with Python and ML to predict revenue, track KPIs, and drive data-driven business growth decisions.
End-to-end customer analytics and revenue forecasting project using Python, data cleaning, feature engineering, EDA, visualization, and machine learning.