Showcase for using H2O and R for scoring for marketing campaign in retail
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Updated
Aug 26, 2018 - R
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 📫
Streamlit Campaign Dashboard is an intuitive and customizable tool to analyze and monitor campaign performance.
A collection of open-source AI-powered marketing tools for modern marketing teams.
Marketing analytics analysis and exercises done in Python
Attributing client side user events to Pinpoint Journeys
A Data Science project for Marketing Campaign Analysis
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.
CRISP DM implementation for bank marketing data.
Mirror of Apache OFBiz Framework
This project presents the target personas for a new Marketing campaign.
Analyzing Portugal bank marketing campaigns results
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.
AB testing fror made up fashion E-Commerce company ChicBeads [Python, Tableau]
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