Curated list of APT group trackers, malware family indexes, naming maps, threat actor reporting, and public intelligence sources.

Analyzed marketing campaign performance to identify high-ROI customer segments, reduce wasted spend, and improve targeting decisions using data-driven insights.

A Claude Code skill + MCP server setup for expert-level Google Ads campaign analysis

A complete end-to-end data analytics project analyzing marketing campaign performance across multiple channels (Search, Social, Email, Display). The goal is to measure campaign effectiveness, optimize spend, and improve ROI.

📊An Power BI dashboard integrating fragmented e-commerce sales and Meta Ads metrics. Built with Design Thinking framework and a custom Star Schema model across 4 tables with 10,000+ rows. | Power BI

This project analyzes marketing campaign performance across Google, Facebook, and Email channels using SQL. It tracks advertising spend, impressions, clicks, conversions, and revenue to evaluate campaign effectiveness, ROI, and customer engagement.

📊 Analyze marketing campaign performance using Power BI and SQL. Track key metrics to optimize ROI and improve customer acquisition strategies.

SQL project analyzing customer responses to a marketing campaign

Built an end-to-end marketing analytics pipeline with machine learning and dashboards to optimize campaign performance and ROI.

Marketing campaign performance analysis for Tokobli e-commerce using data analytics to evaluate revenue efficiency and customer participation across major campaigns (10.10, 11.11, 12.12).

Power BI dashboard analyzing campaign performance, ROI, ROAS, revenue, and marketing spend.

Interactive Power BI dashboard analyzing campaign spend, sales, ROAS, ROI, conversions, and regional marketing performance using Power Query, DAX, and star schema modeling.

Marketing funnel and conversion performance analysis using the UCI Bank Marketing Campaign Dataset. Includes funnel drop-off analysis, channel performance, dashboard visuals, and actionable growth recommendations.

Analyzed lead quality trends to identify top-performing sources and optimize marketing spend. Explored factors like widgets, campaigns, and geography using Python-based analysis and visualizations. Provided actionable insights to improve conversion rates and justify CPL adjustments.

Fundraising performance, ROI and data quality analysis using supporter, donation and campaign datasets. Identified campaign effectiveness, donor concentration risks and opportunities to improve fundraising efficiency through Excel-based analytics.

SQL customer analytics project featuring RFM segmentation, churn risk modeling, and campaign attribution using BigQuery.

End-to-end data analytics project analyzing 120+ marketing campaigns across Google, Facebook, Instagram, LinkedIn, Email & YouTube. Includes data cleaning, EDA, ROI analysis, conversion funnel analysis, and an interactive web dashboard (Chart.js) deployed on GitHub Pages.

Marketing attribution and LTV analytics dashboard using MySQL, Python ETL and Power BI to compare attribution models, CAC, ROAS and customer value.

Analyze marketing campaign performance, customer retention, and customer behavior to identify high-value acquisition channels, improve campaign efficiency, and create actionable customer segments.

Analyze how customer demographics, lifestyle, and past purchases affect their likelihood to respond to marketing campaigns. Discover actionable insights that help optimize sales funnels and marketing efforts