Headless super light forms management tool for Developers
- Updated
- PHP
![]() |
VOOZH | about |
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.
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
Analyze customer behavior using SQL and Python to extract insights on purchase patterns, sentiment analysis, and marketing effectiveness.
Predictive Analysis in R (Logistic Regression Analysis)
Course of business intelligence bootcamp by Dibimbing
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.
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.
This project is dedicated to analyzing CRM system data for an online programming school.
Data Analysis for Business and Marketing use cases
Extract products, prices, and ratings
2022 Q1 Marketing Report
Week 6, Day 1: Tableau Lab, where you will learn to load and integrate datasets into Tableau, create insightful visualizations like barplots and treeplots, and assemble interactive dashboards. The project guides you through analyzing customer data, including gender distribution, employment status, and state breakdowns.
Add a description, image, and links to the marketing-analysis topic page so that developers can more easily learn about it.
To associate your repository with the marketing-analysis topic, visit your repo's landing page and select "manage topics."