Showcase for using H2O and R for scoring for marketing campaign in retail
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
Mined data from Twitter and classify the users based on their locations and preferences to target them through marketing campaigns.
End-to-end marketing and business analysis projects utilizing machine learning and statistical analysis techniques using the R programming language.
Creating marketing campaigns using rich text editor 📫
A collection of open-source AI-powered marketing tools for modern marketing teams.
Streamlit Campaign Dashboard is an intuitive and customizable tool to analyze and monitor campaign performance.
Marketing analytics analysis and exercises done in Python
Mirror of Apache OFBiz Framework
A Data Science project for Marketing Campaign Analysis
CRISP DM implementation for bank marketing data.
This collection features projects that demonstrate my ability to analyze, visualize, and draw insights from publicly available datasets. Topics range from socioeconomic research to policy impact analysis, using tools like Python, pandas, seaborn, and matplotlib.
Attributing client side user events to Pinpoint Journeys
Analyzing Portugal bank marketing campaigns results
This project presents the target personas for a new Marketing campaign.
Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
This project focuses on analyzing marketing campaign performance to provide actionable insights to guide strategic investment decisions. By examining customer engagement, conversion rates, and time on site, the project aims to identify the most effective campaign-channel combinations and inform marketing strategy for the next quarter.
DeFi CMO
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