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

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

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

Projeto que investiga as vendas de café de uma máquina de vendas, usando dados do Kaggle. A análise abrange padrões de compra, tendências de vendas e preferências dos clientes, com foco em insights estratégicos para otimizar marketing, precificação e gerenciamento de estoque.

This is a project using classification algorithms to predict customers.

Diwali Sales Data Analysis is a Python project that analyzes Diwali season sales data to uncover insights on customer demographics, purchasing patterns, and regional performance using data cleaning, EDA, and visualization techniques.

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

Strategic proposal for enhancing Delta Airlines' data systems and marketing strategies.

Exploratory Data Analysis (EDA) in Python with reports in Tableau and Power BI for the Google Data Analytics Certificate.

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.

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.

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.

Positioning and segmentation analysis of Bath & Body Works using perceptual mapping, consumer preference modeling, and market simulation techniques. Utilizes PCA-based perceptual maps, K-means clustering, and first-choice share of preference models via Enginius. Provides brand differentiation & market alignment.

Market and consumer analysis for positioning a new Philips product in a competitive landscape. Includes competitor analysis, survey insights, and strategic recommendations based on data-driven findings.

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.

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.

The Cyclistic Bike-Share Analysis explores Chicago's Divvy bike-sharing data to identify strategies for converting casual riders into annual members through detailed usage pattern analysis.

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

Analyze airline loyalty programs and campaigns to boost customer engagement and optimize strategies using data insights. ✈️📊📈

Analysis of transaction data to identify the most profitable products and key customer segments, providing insights for targeted marketing strategies.