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

📊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)

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

Interactive U.S. housing market choropleth map with zip code level data

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

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.

2022 Q1 Marketing Report

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

Online Learning Platform Data Analysis and Tableau Dashboard

Course of business intelligence bootcamp by Dibimbing

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.

This project is dedicated to analyzing CRM system data for an online programming school.

Data Analysis for Business and Marketing use cases

Analysis using Power BI

This project performs Exploratory Data Analysis (EDA) on a customer segmentation dataset to uncover insights into customer demographics, spending behaviors, and transaction patterns. The goal is to guide targeted marketing strategies by identifying key customer segments.

"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.