Headless super light forms management tool for Developers

In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

Marketing Mixed Modelling using PyMC3-Marketing

An end-to-end LangGraph pipeline that fetches Facebook ads, downloads and processes video content, transcribes Urdu audio via Whisper, analyzes marketing techniques and visuals with GPT-4o, and produces structured marketing insights.

Analyze customer behavior using SQL and Python to extract insights on purchase patterns, sentiment analysis, and marketing effectiveness.

Marketing analysis using Python and Pandas to analyse sales trends, customer behaviour, and product performance for data-driven decision-making.

📊This project applies unsupervised machine learning techniques to segment customers based on spending behavior and demographic patterns. By leveraging K-Means clustering, we uncover hidden customer groups that can be useful for targeted marketing strategies. It’s a classic EDA + ML combo ideal for aspiring data scientists

Predictive Analysis in R (Logistic Regression Analysis)

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.

A Claude AI skill for comprehensive brand diagnosis and growth breakthrough analysis based on 23 years of brand marketing experience.

Analysis of Ad AB Test results using Python. Conducted comprehensive data analysis, including sanity checks, to evaluate ad campaign performance and derive key insights

This project applies KMeans clustering to segment customers based on their credit card usage patterns. Using features like balance, purchase frequency, credit limit, and payments, the model identifies distinct customer groups.

End-to-end marketing analytics pipeline - Python (EDA + Clustering) - MySQL (Last-Touch Attribution) - Power BI (Executive Dashboard)

Statistical A/B Testing & ROI analysis using SQL and Advanced Excel (Two-Proportion Z-Test) to evaluate the profitability of digital marketing campaigns.

Power BI dashboard for marketing KPIs & revenue trends (synthetic DE e-commerce): DAX + KPI tracking.

Course of business intelligence bootcamp by Dibimbing

"RFM Analysis" is a part of Marketing Analysis and is used to analyze customer value, thereby helping businesses to analyze each customer group they have, from there marketing campaigns or special care.