The repository includes various analytics techniques and models that can be used to identify which campaigns are generating the most traffic, leads, and conversions. Additionally, the repository also provides various data visualization tools that can be used to create reports and dashboards to monitor the performance of digital advertising campaign
NL-to-SQL marketing analytics chat app built with Streamlit, Claude, and Databricks
The AgenticCRM application is a multi-agent campaign auditing system. It executes comprehensive text, visual, and compliance audits for marketing campaigns by leveraging diverse LLM models and robust internal validation mechanisms.
This repository contains a project that analyzes the impact of media advertising 📺📻📰 on sales 💸 using SQL for data processing and Tableau for interactive dashboards 📊. The dashboard visualizes how advertising spend influences sales and helps optimize marketing ROI 📈.
A Python tool that filters marketing campaign data to identify underperforming campaigns based on execution rate and assignment drop rate thresholds.
Google Ads campaign audit analyzing ₹31.4 lakh ad spend across 10 campaigns — identifying wasted budget, high CPA campaigns, and reallocation opportunities using Python and statistical analysis
Customer experience analytics on real Olist reviews: NPS proxy, driver analysis, delivery-SLA cohorts, logistic regression and stakeholder CX brief.
End-to-end campaign analytics — 10,000+ sales records analyzed with Python, Pandas, Matplotlib and Seaborn
Marketing & CRM analytics: attribution, RFM, CLV, lifecycle automation, A/B testing, GA4/UTM/consent and BI dashboards on disclosed real/hybrid data.
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