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.

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

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.

Website for Nixon Marketing

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.

This project analyzes smart device usage data to derive insights for Bellabeat, a health-focused company targeting women's wellness. Utilizing R, the analysis explores user activity, sleep, and weight data to inform growth and marketing strategies, aiming to enhance Bellabeat's position in the global smart device market.

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.

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

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

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.

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

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

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.

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.

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.

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.