This project is an ebook I developed shortly after my first work experience, where I applied my knowledge of Meta Ads products. It covers essential concepts, strategies, and insights to effectively leverage Meta Ads for advertising success.

SQL-driven analysis and reporting for strategic insights into Excelsior Mobile's customer usage and billing data to inform business decisions

My team brainstormed and developed a business idea, wrote a partial business plan, developed a marketing strategy and designed and developed an Access database. This was created in Summer 2022.

The objective is to analyze the usage patterns of annual members and casual riders to gain insights that will inform a new marketing strategy. We aim to design effective strategies to convert casual riders into annual members and maximize Cyclistic's growth potential.

Optimize marketing strategies and enhance decision-making. Explore customer data, segment behavior, calculate CLV, analyze demographics, and visualize insights. 🚀

Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.

Analyzed Air France Internet Marketing data to present how they can optimize their future Search Engine Marketing (SEM) and Search Engine Optimization (SEO) campaigns.

The best hour to post on TikTok based on follower data with Python

This is a predictive analysis of Mays Limited sales performance FY 2019 - 2020 to inform the year 2023 marketing strategy using Python, SQL and Tableau.

Give a Marketing strategy to bank using dataset available on kaggle.

This is a project using classification algorithms to predict customers.